Triple

T13932971
Position Surface form Disambiguated ID Type / Status
Subject Golden Arms E335037 entity
Predicate realName P9233 FINISHED
Object Lamont Jody Hawkins E335036 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: Lamont Jody Hawkins | Statement: [Golden Arms, realName, Lamont Jody Hawkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamont Jody Hawkins
Context triple: [Golden Arms, realName, Lamont Jody Hawkins]
  • A. Lamont Jody Hawkins chosen
    Lamont Jody Hawkins is an American rapper best known as U-God, a core member of the influential hip hop group Wu-Tang Clan.
  • B. Shepherd Henderson
    Shepherd Henderson is the romantic lead in the 1958 fantasy–romantic comedy film "Bell, Book and Candle," where he becomes the unwitting target of a modern witch’s love spell.
  • C. Hal Slocumb
    Hal Slocumb is the sympathetic Arkansas detective in the film "Thelma & Louise" who persistently tries to help and protect the two runaway women.
  • D. Leon Durham
    Leon Durham is a former Major League Baseball first baseman and outfielder best known for his years with the Chicago Cubs in the early 1980s.
  • E. Ward Hawkins
    Ward Hawkins was an American author best known for his crime and mystery fiction, including the work that inspired the film "Crime Wave."
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf28df081908d897d7b9ec7939d completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c81e988190a5fd8e2d83e065fe completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.