Triple

T6321999
Position Surface form Disambiguated ID Type / Status
Subject Annis Bertha Ford Eastman E141764 entity
Predicate givenName P17 FINISHED
Object Annis
Annis is a feminine given name of English origin, historically used in the Anglophone world.
 E585155 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: Annis | Statement: [Annis Bertha Ford Eastman, givenName, Annis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annis
Context triple: [Annis Bertha Ford Eastman, givenName, Annis]
  • A. Annen
    Annen is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Aa en Hunze.
  • B. Osanna
    Osanna is a choral movement within J.S. Bach’s Mass in B minor, known for its exuberant double-chorus writing and festive character.
  • C. Allaine
    The Allaine is a river in the Jura region of Switzerland and France that flows through towns such as Porrentruy before joining the Doubs.
  • D. Annalise
    Annalise is a minor but pivotal character in John le Carré’s espionage novel "Smiley’s People," involved in the intricate web of intelligence and personal relationships surrounding George Smiley.
  • E. Annie Roland
    Annie Roland is a fictional nurse featured as a character in the American television drama series "Nurses."
  • 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: Annis
Triple: [Annis Bertha Ford Eastman, givenName, Annis]
Generated description
Annis is a feminine given name of English origin, historically used in the Anglophone world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annis
Target entity description: Annis is a feminine given name of English origin, historically used in the Anglophone world.
  • A. Annen
    Annen is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Aa en Hunze.
  • B. Osanna
    Osanna is a choral movement within J.S. Bach’s Mass in B minor, known for its exuberant double-chorus writing and festive character.
  • C. Allaine
    The Allaine is a river in the Jura region of Switzerland and France that flows through towns such as Porrentruy before joining the Doubs.
  • D. Annalise
    Annalise is a minor but pivotal character in John le Carré’s espionage novel "Smiley’s People," involved in the intricate web of intelligence and personal relationships surrounding George Smiley.
  • E. Annie Roland
    Annie Roland is a fictional nurse featured as a character in the American television drama series "Nurses."
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c76dfc8190a1d44fd0c4402a0e completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48a8c5c819099f21fdff1ce43f3 completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5f8b0e0e48190896cc2abc6b26b89 completed March 27, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c5f92a87148190b3c38f312a4901a4 completed March 27, 2026, 3:27 a.m.
Created at: March 22, 2026, 4:29 p.m.