Triple

T9790175
Position Surface form Disambiguated ID Type / Status
Subject Triple 9 E237585 entity
Predicate stars P1956 FINISHED
Object Clifton Collins Jr. E11274 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: Clifton Collins Jr. | Statement: [Triple 9, stars, Clifton Collins Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clifton Collins Jr.
Context triple: [Triple 9, stars, Clifton Collins Jr.]
  • A. Clifton Collins Jr. chosen
    Clifton Collins Jr. is an American character actor known for his versatile roles in films and television series such as "Capote," "Traffic," and "Westworld."
  • B. Mark Pellington
    Mark Pellington is an American film and music video director known for his visually striking, emotionally intense work on projects such as U2’s “One” and the film “Arlington Road.”
  • C. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • D. Titus Welliver
    Titus Welliver is an American actor best known for his roles in the television series "Bosch" and "Deadwood," as well as numerous film and TV character roles.
  • E. Jeffery Wood
    Jeffery Wood is an American actor best known for his role on the television sitcom "In the House."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4e30bc81909b1dce4a0cc69991 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:28 p.m.