Triple

T201147
Position Surface form Disambiguated ID Type / Status
Subject Fay Wray E4506 entity
Predicate givenName P17 FINISHED
Object Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
E30967 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: Fay | Statement: [Fay Wray, givenName, Fay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fay
Context triple: [Fay Wray, givenName, Fay]
  • A. Maxine
    Maxine is a character featured in the film "Once Again."
  • B. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Fifi
    Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
  • E. Leslie
    Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • 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: Fay
Triple: [Fay Wray, givenName, Fay]
Generated description
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fay
Target entity description: Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • A. Maxine
    Maxine is a character featured in the film "Once Again."
  • B. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Fifi
    Fifi was one of Jane Goodall’s most closely observed wild chimpanzees at Gombe, known for her long-term presence in the study and her role in revealing chimpanzee social and family dynamics.
  • E. Leslie
    Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36958f6488190872ccf3c318a3cfa completed Feb. 28, 2026, 10:16 p.m.
NEDg Description generation batch_69a369de04048190b2dc01cc328e644d completed Feb. 28, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69a36a48d5a88190a727fec1c25a1d5b completed Feb. 28, 2026, 10:20 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.