Triple

T4433802
Position Surface form Disambiguated ID Type / Status
Subject Palacio Sara Braun E95597 entity
Predicate namedAfter P63 FINISHED
Object Sara Braun
Sara Braun was a prominent late 19th- and early 20th-century businesswoman and philanthropist in Chilean Patagonia, known for her influential role in regional development and society.
 E488862 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sara Braun | Statement: [Palacio Sara Braun, namedAfter, Sara Braun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara Braun
Context triple: [Palacio Sara Braun, namedAfter, Sara Braun]
  • A. Sara Haden
    Sara Haden was an American character actress best known for her supporting roles in classic Hollywood films of the 1930s and 1940s, including several entries in the Andy Hardy series.
  • B. Sara Hess
    Sara Hess is an American television writer and producer known for her work on acclaimed series such as House of the Dragon and Orange Is the New Black.
  • C. Sara Samuels
    Sara Samuels is the central character in the "Black Mirror" episode "Arkangel," a young girl whose life is tightly controlled and surveilled through experimental parental technology.
  • D. Paula Braun
    Paula Braun is an American health IT and data science expert known for her work modernizing public health surveillance and analytics, including at the U.S. Centers for Disease Control and Prevention (CDC).
  • E. Sara Allgood
    Sara Allgood was an Irish stage and film actress known for her character roles in early 20th-century theatre and classic Hollywood cinema.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sara Braun
Triple: [Palacio Sara Braun, namedAfter, Sara Braun]
Generated description
Sara Braun was a prominent late 19th- and early 20th-century businesswoman and philanthropist in Chilean Patagonia, known for her influential role in regional development and society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara Braun
Target entity description: Sara Braun was a prominent late 19th- and early 20th-century businesswoman and philanthropist in Chilean Patagonia, known for her influential role in regional development and society.
  • A. Sara Haden
    Sara Haden was an American character actress best known for her supporting roles in classic Hollywood films of the 1930s and 1940s, including several entries in the Andy Hardy series.
  • B. Sara Hess
    Sara Hess is an American television writer and producer known for her work on acclaimed series such as House of the Dragon and Orange Is the New Black.
  • C. Sara Samuels
    Sara Samuels is the central character in the "Black Mirror" episode "Arkangel," a young girl whose life is tightly controlled and surveilled through experimental parental technology.
  • D. Paula Braun
    Paula Braun is an American health IT and data science expert known for her work modernizing public health surveillance and analytics, including at the U.S. Centers for Disease Control and Prevention (CDC).
  • E. Sara Allgood
    Sara Allgood was an Irish stage and film actress known for her character roles in early 20th-century theatre and classic Hollywood cinema.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35587bc048190aee8e0ed94b6e064 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69be9c31748c81909477e01261b5a78a completed March 21, 2026, 1:25 p.m.
NEDg Description generation batch_69be9e3cfa8081909378c552be3ecb41 completed March 21, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69be9e902e3881909f2662cf8f086cd9 completed March 21, 2026, 1:35 p.m.
Created at: March 12, 2026, 11:31 p.m.