Triple

T16785986
Position Surface form Disambiguated ID Type / Status
Subject Forrest Taylor E407975 entity
Predicate name P16 FINISHED
Object Forrest Taylor E407975 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: Forrest Taylor | Statement: [Forrest Taylor, name, Forrest Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forrest Taylor
Context triple: [Forrest Taylor, name, Forrest Taylor]
  • A. Forrest Taylor chosen
    Forrest Taylor was an American character actor known for his numerous supporting roles in B-movies and film serials during the early to mid-20th century.
  • B. Forrest Landis
    Forrest Landis is an American former child actor best known for his role in the family comedy film "Cheaper by the Dozen."
  • C. Forrest Tucker
    Forrest Tucker was an American actor best known for his roles in Westerns and classic films and later for his television work, including the sitcom "F Troop."
  • D. Forrest McDonald
    Forrest McDonald was an influential American historian best known for his work on the U.S. Constitution, the American founding, and early American political and economic history.
  • E. Forrest Alamain
    Forrest Alamain is a fictional character from the soap opera "Days of Our Lives," known as an alias used by the long-running character John Black.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21a52ac8190b4374aa0fc45683a completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab07bdcc819086479178e5b8b679 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.