Triple

T12141782
Position Surface form Disambiguated ID Type / Status
Subject Susan Harris E289200 entity
Predicate created P538 FINISHED
Object Fay E965082 NE FINISHED

How this triple was built (2 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, created, Fay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fay
Context triple: [Susan Harris, created, 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. Fay chosen
    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.
  • C. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • D. 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."
  • E. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69f60a7baee88190a32a5a3cd0b8a326 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.