Triple

T3874170
Position Surface form Disambiguated ID Type / Status
Subject All My Children E92456 entity
Predicate starredActor P5563 FINISHED
Object Sarah Michelle Gellar E174319 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: Sarah Michelle Gellar | Statement: [All My Children, starredActor, Sarah Michelle Gellar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Michelle Gellar
Context triple: [All My Children, starredActor, Sarah Michelle Gellar]
  • A. Sarah Michelle Gellar chosen
    Sarah Michelle Gellar is an American actress best known for her iconic role as Buffy Summers in the television series "Buffy the Vampire Slayer."
  • B. Neve Campbell
    Neve Campbell is a Canadian actress best known for her leading roles in the Scream horror film franchise and the television series Party of Five.
  • C. Kate Beckinsale
    Kate Beckinsale is an English actress known for her versatile film career, including prominent roles in action, drama, and comedy films such as the Underworld series and various Hollywood productions.
  • D. Nikki Reed
    Nikki Reed is an American actress and screenwriter best known for her role as Rosalie Hale in the Twilight film series.
  • E. Ali Larter
    Ali Larter is an American actress and former model best known for her roles in films like "Final Destination" and "Legally Blonde" and the TV series "Heroes."
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec59bea08190b1e193f34944a2ee completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c83512c81908db2e442b7d2aca0 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:20 p.m.