Triple

T8351390
Position Surface form Disambiguated ID Type / Status
Subject Hannah and Her Sisters E196166 entity
Predicate stars P1956 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: [Hannah and Her Sisters, stars, Carrie Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrie Fisher
Context triple: [Hannah and Her Sisters, stars, 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. Majel Barrett
    Majel Barrett was an American actress and producer best known for her multiple iconic roles and voice work across the Star Trek franchise.
  • C. Sean Young
    Sean Young is an American actress best known for her roles in 1980s films such as "Blade Runner," "Dune," and "No Way Out."
  • D. 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."
  • E. Sully Erna
    Sully Erna is an American musician best known as the lead vocalist and primary songwriter of the hard rock band Godsmack.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8019fb308190a3edc744bd473a5b completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7b2d00c8190b7df13a0853a6374 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 5:59 p.m.