Triple

T14938718
Position Surface form Disambiguated ID Type / Status
Subject Harold Prince E372464 entity
Predicate notableWork P4 FINISHED
Object Damn Yankees E258816 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: Damn Yankees | Statement: [Harold Prince, notableWork, Damn Yankees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damn Yankees
Context triple: [Harold Prince, notableWork, Damn Yankees]
  • A. Damn Yankees chosen
    "Damn Yankees" is a 1958 musical comedy film adaptation of the Broadway show about a man who makes a Faustian bargain to help his favorite baseball team win the pennant.
  • B. The Yanks
    The Yanks is a common nickname for the United States men's national soccer team, reflecting its American identity and heritage.
  • C. Yanks
    Yanks is a 1979 British romantic war drama film set in World War II England that explores relationships between American soldiers and local women.
  • D. The Yankee
    The Yankee is the nickname of Hank Morgan, the time-traveling 19th-century engineer who becomes a powerful figure in King Arthur’s court in Mark Twain’s novel "A Connecticut Yankee in King Arthur’s Court."
  • E. Yankee Cannonball
    Yankee Cannonball is a classic wooden roller coaster known for its out-and-back layout and airtime-filled drops at Canobie Lake Park in New Hampshire.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64904d88190b6b4140da8e8199d completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8e9c0c81909cfb1e02987527c0 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.