Triple

T22475877
Position Surface form Disambiguated ID Type / Status
Subject George Conway E555628 entity
Predicate name P16 FINISHED
Object George Conway E555628 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: George Conway | Statement: [George Conway, name, George Conway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Conway
Context triple: [George Conway, name, George Conway]
  • A. George Conway chosen
    George Conway is an American attorney and conservative political commentator known for his outspoken criticism of Donald Trump, despite being married to former Trump advisor Kellyanne Conway.
  • B. William Conway
    William Conway was a member of the prominent Conway family of early 19th-century American politicians, related to Arkansas's first governor James Sevier Conway.
  • C. Richard Conway
    Richard Conway was a British visual effects supervisor and special effects artist known for his innovative work on films such as *The Adventures of Baron Munchausen*.
  • D. Conway Tearle
    Conway Tearle was an American stage and silent film actor prominent in the early 20th century.
  • E. Leslie Hunter
    Leslie Hunter is one of the central young adult characters in the 1985 coming-of-age film "St. Elmo's Fire," navigating post-college relationships and personal ambitions.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be3930c8190ba967196df7e083f completed April 29, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b125dda888190a266454969014eb7 completed May 18, 2026, 1:21 p.m.
Created at: April 16, 2026, 8:49 p.m.