Triple

T13461648
Position Surface form Disambiguated ID Type / Status
Subject Dean Pereira E311384 entity
Predicate spouse P13 FINISHED
Object Cindy Heller Pereira
Cindy Heller Pereira is known as the spouse of Dean Pereira.
E1041595 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: Cindy Heller Pereira | Statement: [Dean Pereira, spouse, Cindy Heller Pereira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy Heller Pereira
Context triple: [Dean Pereira, spouse, Cindy Heller Pereira]
  • A. Cindy Heller Pereira
    Cindy Heller Pereira is the female lead character in the romantic drama film "Blue Valentine," portrayed by Michelle Williams.
  • B. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • C. Cindy Mollo
    Cindy Mollo is a film and television editor known for her work on projects such as the post-apocalyptic drama "The Book of Eli."
  • D. Cindy Marcus
    Cindy Marcus is a screenwriter best known for co-writing Disney's animated sequel "The Lion King II: Simba’s Pride."
  • E. Cindy Morgan
    Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
  • 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: Cindy Heller Pereira
Triple: [Dean Pereira, spouse, Cindy Heller Pereira]
Generated description
Cindy Heller Pereira is known as the spouse of Dean Pereira.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cindy Heller Pereira
Target entity description: Cindy Heller Pereira is known as the spouse of Dean Pereira.
  • A. Cindy Heller Pereira
    Cindy Heller Pereira is the female lead character in the romantic drama film "Blue Valentine," portrayed by Michelle Williams.
  • B. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • C. Cindy Mollo
    Cindy Mollo is a film and television editor known for her work on projects such as the post-apocalyptic drama "The Book of Eli."
  • D. Cindy Marcus
    Cindy Marcus is a screenwriter best known for co-writing Disney's animated sequel "The Lion King II: Simba’s Pride."
  • E. Cindy Morgan
    Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0d95fc81909d9f73d5315dc7b4 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a2c75c819093765eb9d0d2377e completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73db030ec8190a7d6b2cb1a3d52ed completed May 3, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69f73e8531a48190a280407f291d004c completed May 3, 2026, 12:24 p.m.
Created at: April 9, 2026, 9:41 p.m.