Triple

T18659988
Position Surface form Disambiguated ID Type / Status
Subject Hal Walker E456165 entity
Predicate notableWork P4 FINISHED
Object The Lemon Drop Kid NE NERFINISHED

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: The Lemon Drop Kid | Statement: [Hal Walker, notableWork, The Lemon Drop Kid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lemon Drop Kid
Context triple: [Hal Walker, notableWork, The Lemon Drop Kid]
  • A. The Lemon Drop Kid chosen
    The Lemon Drop Kid is a 1951 Christmas-themed comedy film starring Bob Hope, best known today for popularizing the holiday song "Silver Bells."
  • B. Lemon Drop Kid
    Lemon Drop Kid is a champion American Thoroughbred racehorse and successful sire known for winning the 1999 Belmont Stakes and Travers Stakes.
  • C. Lemon Drop
    Lemon Drop is a sweet-and-tart vodka-based cocktail, typically made with lemon juice, triple sec, and simple syrup, and often served in a sugar-rimmed glass.
  • D. The Patent Leather Kid
    The Patent Leather Kid is a 1927 silent drama film about a cocky prizefighter whose life changes when he goes to war in World War I.
  • E. The Kid from Kokomo
    The Kid from Kokomo is a 1939 American comedy film featuring actress Rita Johnson in a prominent role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e550889580819090ceb0ea4c93acc7 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.