Triple

T11596015
Position Surface form Disambiguated ID Type / Status
Subject Carpenter E275002 entity
Predicate hasNotableBearer P458 FINISHED
Object Charisma Carpenter E443011 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: Charisma Carpenter | Statement: [Carpenter, hasNotableBearer, Charisma Carpenter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charisma Carpenter
Context triple: [Carpenter, hasNotableBearer, Charisma Carpenter]
  • A. Charisma Carpenter chosen
    Charisma Carpenter is an American actress best known for playing Cordelia Chase in the television series Buffy the Vampire Slayer and its spin-off Angel.
  • B. Kathleen Rose Perkins
    Kathleen Rose Perkins is an American actress known for her work in television comedies and dramas, including roles in series like "Episodes" and various film appearances.
  • C. Shannen Doherty
    Shannen Doherty is an American actress best known for her prominent roles in popular 1990s television series, including "Beverly Hills, 90210" and "Charmed."
  • D. Robyn Lively
    Robyn Lively is an American actress best known for her roles in films like "Teen Witch" and television series such as "Twin Peaks" and "Savannah."
  • E. Eliza Dushku
    Eliza Dushku is an American actress best known for her roles in films like "Bring It On" and TV series such as "Buffy the Vampire Slayer" and "Dollhouse."
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946790d08190924d60bb4b523250 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7b72c888190b069d0ebaebd31d9 completed April 22, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:38 p.m.