Triple

T19547066
Position Surface form Disambiguated ID Type / Status
Subject Alan Ladd as Jim Bowie E489099 entity
Predicate basedOn P98 FINISHED
Object Jim Bowie 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: Jim Bowie | Statement: [Alan Ladd as Jim Bowie, basedOn, Jim Bowie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Bowie
Context triple: [Alan Ladd as Jim Bowie, basedOn, Jim Bowie]
  • A. Richard Fannin
    Richard Fannin is an alias used by Randall Flagg, the recurring demonic antagonist in several of Stephen King’s novels.
  • B. James Bowie chosen
    James Bowie was a 19th-century American frontiersman and folk hero, famed for his role at the Battle of the Alamo and for the large hunting knife that bears his name.
  • C. William Weatherford
    William Weatherford was a prominent early 19th-century Creek (Muscogee) leader and warrior, best known for his role in the Creek War and the attack on Fort Mims.
  • D. Juan Seguín
    Juan Seguín was a prominent Tejano political and military leader who fought in the Texas Revolution and later served as a senator and mayor in the Republic of Texas.
  • E. David Crockett
    David Crockett is a television producer best known for his work as an executive producer on high-profile series such as the historical drama "The Gilded Age."
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2d8a6081908e9bb3a6f5d85896 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.