Triple

T19080956
Position Surface form Disambiguated ID Type / Status
Subject The Tall Men E467029 entity
Predicate starring P1507 FINISHED
Object Cameron Mitchell 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: Cameron Mitchell | Statement: [The Tall Men, starring, Cameron Mitchell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cameron Mitchell
Context triple: [The Tall Men, starring, Cameron Mitchell]
  • A. Cameron Mitchell chosen
    Cameron Mitchell was an American film, television, and stage actor known for his prolific character roles in mid-20th-century Hollywood productions.
  • B. Cameron Mitchell
    Cameron Mitchell is a fictional character appearing in the coming-of-age comedy film "The To Do List."
  • C. Mitchell Robertson
    Mitchell Robertson is an actor known for his role in the film "From Darkness."
  • D. Cameron Roberts
    Cameron Roberts is a fictional character known as one of Vince Tyler’s romantic partners in the British television series "Queer as Folk."
  • E. Cameron Dillon
    Cameron Dillon is a person notable enough to be specifically cited as a bearer of the surname Dillon.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e8f8148190942cca6dd3e30caf completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.