Triple

T5515081
Position Surface form Disambiguated ID Type / Status
Subject The Star E144660 entity
Predicate hasSupportingActor P44204 FINISHED
Object Sterling Hayden E20817 NE FINISHED

How this triple was built (3 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: Sterling Hayden | Statement: [The Star, hasSupportingActor, Sterling Hayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sterling Hayden
Context triple: [The Star, hasSupportingActor, Sterling Hayden]
  • A. Sterling Hayden chosen
    Sterling Hayden was an American actor and World War II hero known for his rugged film roles and his clandestine service as a Marine and OSS operative.
  • B. Eddie Bracken
    Eddie Bracken was an American comedic actor known for his roles in 1940s and 1950s film comedies and Broadway productions.
  • C. Richard Basehart
    Richard Basehart was an American actor known for his versatile film and television roles, including performances in "La Strada" and the TV series "Voyage to the Bottom of the Sea."
  • D. Zachary Scott
    Zachary Scott was an American actor best known for his suave yet often villainous roles in 1940s and 1950s Hollywood films.
  • E. Edmond O'Brien
    Edmond O'Brien was an American character actor and Academy Award winner known for his intense, hard-boiled performances in film noir and classic Hollywood dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSupportingActor
Context triple: [The Star, hasSupportingActor, Sterling Hayden]
  • A. supportingActorNominee
    Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
  • B. supportingActorAwardRecipient
    Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
  • C. hasCrewMember
    Indicates that an entity includes or employs another entity as a member of its crew.
  • D. starredActor
    Indicates that an actor performed a leading or significant role in a particular production or work.
  • E. supportingCharacterPortrayedBy chosen
    Indicates that a supporting (non-leading) character in a work is portrayed or acted by a specific performer.
  • F. None of above.

Provenance (4 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5b4e988190b590b4157cf089c1 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e2efb6d4819091ed08faec3b6c4a completed March 23, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69c01b0a06348190b39ac9fe80d2836a completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:33 p.m.