Triple

T3910463
Position Surface form Disambiguated ID Type / Status
Subject Harold W. Kuhn E87307 entity
Predicate coAuthor P398 FINISHED
Object David Gale E153133 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: David Gale | Statement: [Harold W. Kuhn, coAuthor, David Gale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Gale
Context triple: [Harold W. Kuhn, coAuthor, David Gale]
  • A. David Gale chosen
    David Gale was an American mathematician and economist known for his influential work in game theory, mathematical economics, and the theory of linear programming.
  • B. John Cassisi
    John Cassisi is an American former child actor best known for playing the mob boss Fat Sam in the 1976 musical gangster film "Bugsy Malone."
  • C. Bill Marshall
    Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
  • D. Stephen Heard
    Stephen Heard was an American Revolutionary War officer and politician who served as governor of Georgia in the late 18th century.
  • E. Dennis Morgan
    Dennis Morgan was an American film actor and singer best known for his leading-man roles in Hollywood musicals and dramas of the 1940s.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed3408f881908c3cffc5dbfe3950 completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c34527c8190a43bcc45acbe9a3d completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:22 p.m.