Triple

T3537971
Position Surface form Disambiguated ID Type / Status
Subject Star Wars: The Force Awakens E74811 entity
Predicate castMember P1668 FINISHED
Object Carrie Fisher E146866 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: Carrie Fisher | Statement: [Star Wars: The Force Awakens, castMember, Carrie Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie Fisher
Context triple: [Star Wars: The Force Awakens, castMember, Carrie Fisher]
  • A. Carrie Fisher chosen
    Carrie Fisher was an American actress and writer best known for her iconic role as Princess Leia in the Star Wars film series.
  • B. Kate Mara
    Kate Mara is an American actress known for her roles in films like "The Martian" and "Brokeback Mountain" and TV series such as "House of Cards."
  • C. Sully Erna
    Sully Erna is an American musician best known as the lead vocalist and primary songwriter of the hard rock band Godsmack.
  • D. Talia Shire
    Talia Shire is an American actress best known for her roles as Adrian in the Rocky film series and Connie Corleone in The Godfather trilogy.
  • E. Daryl Hannah
    Daryl Hannah is an American actress best known for her roles in films such as "Splash," "Blade Runner," and "Kill Bill."
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc928248190b851f8280d58cfcf completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd4d5f4819095c962f01fc6f7e8 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.