Triple

T12141781
Position Surface form Disambiguated ID Type / Status
Subject Susan Harris E289200 entity
Predicate notableWork P4 FINISHED
Object Fay
Fay is an American television sitcom created by Susan Harris that aired briefly in the 1970s and centered on the life of a recently divorced woman starting over.
 E965082 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: [Susan Harris, notableWork, Fay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fay
Context triple: [Susan Harris, notableWork, Fay]
  • A. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • B. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • C. Faye Greener
    Faye Greener is a vain, ambitious aspiring actress in Hollywood and a central figure whose illusions and manipulations drive much of the drama in "The Day of the Locust."
  • D. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • E. Fynn
    Fynn is an alternative spelling of the given name Finn, used as a modern variant in various European languages.
  • 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: [Susan Harris, notableWork, Fay]
Generated description
Fay is an American television sitcom created by Susan Harris that aired briefly in the 1970s and centered on the life of a recently divorced woman starting over.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fay
Target entity description: Fay is an American television sitcom created by Susan Harris that aired briefly in the 1970s and centered on the life of a recently divorced woman starting over.
  • A. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • B. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • C. Faye Greener
    Faye Greener is a vain, ambitious aspiring actress in Hollywood and a central figure whose illusions and manipulations drive much of the drama in "The Day of the Locust."
  • D. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • E. Fynn
    Fynn is an alternative spelling of the given name Finn, used as a modern variant in various European languages.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915a9838081909622cc14df2a2582 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f692ee048190ab42c92296fd28fb completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7385881909ddb86a1d39ff5d4 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601e7f3b0819098a2245b9f9316b9 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.