Triple

T5705974
Position Surface form Disambiguated ID Type / Status
Subject I Am Legend (film) E125784 entity
Predicate starring P1507 FINISHED
Object Charlie Tahan E285265 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: Charlie Tahan | Statement: [I Am Legend (film), starring, Charlie Tahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Tahan
Context triple: [I Am Legend (film), starring, Charlie Tahan]
  • A. Charlie Tahan chosen
    Charlie Tahan is an American actor known for his roles in films like "Charlie St. Cloud" and "Super Dark Times" and TV series such as "Ozark" and "Wayward Pines."
  • B. Ran Carthon
    Ran Carthon is an American football executive and former NFL running back who serves as the general manager of the Tennessee Titans.
  • C. Tom Tully
    Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
  • D. Daniel Troob
    Daniel Troob is an American orchestrator and arranger best known for his work on numerous Disney animated film scores and Broadway musicals.
  • E. Charlie Allnut
    Charlie Allnut is the rough-edged but good-hearted Canadian boat captain from the classic film "The African Queen," known for his unlikely partnership and romance with a prim missionary during World War I.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02459cd18819080fda0b481d11f08 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07de7df8c8190824d24f729eaa04d completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:45 p.m.