Triple

T6763240
Position Surface form Disambiguated ID Type / Status
Subject Fay Bainter E154647 entity
Predicate familyName P18 FINISHED
Object Bainter
Bainter is a surname most notably associated with American actress Fay Bainter, an Academy Award–winning performer of stage and screen in the early 20th century.
 E618033 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: Bainter | Statement: [Fay Bainter, familyName, Bainter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bainter
Context triple: [Fay Bainter, familyName, Bainter]
  • A. Bakster
    Bakster is an alternative spelling or variant form of the name Baxter, typically used as a surname or given name.
  • B. Baines
    Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
  • C. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • D. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • E. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • 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: Bainter
Triple: [Fay Bainter, familyName, Bainter]
Generated description
Bainter is a surname most notably associated with American actress Fay Bainter, an Academy Award–winning performer of stage and screen in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bainter
Target entity description: Bainter is a surname most notably associated with American actress Fay Bainter, an Academy Award–winning performer of stage and screen in the early 20th century.
  • A. Bakster
    Bakster is an alternative spelling or variant form of the name Baxter, typically used as a surname or given name.
  • B. Baines
    Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
  • C. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • D. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • E. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2160a2c8190837c608a3509c62c completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b6ec408190bd9131f289b02ba7 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713b3accc81908d19c1b00e2c312c completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7146413748190b844d9422dce42c2 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:12 p.m.