Triple

T4450322
Position Surface form Disambiguated ID Type / Status
Subject Alyssa Milano E97591 entity
Predicate name P16 FINISHED
Object Alyssa Milano E97591 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: Alyssa Milano | Statement: [Alyssa Milano, name, Alyssa Milano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alyssa Milano
Context triple: [Alyssa Milano, name, Alyssa Milano]
  • A. Alyssa Milano chosen
    Alyssa Milano is an American actress and activist who helped bring global attention to the MeToo movement through her influential social media advocacy.
  • B. Jessica Alba
    Jessica Alba is an American actress and businesswoman known for her roles in films like "Fantastic Four" and for founding the consumer goods company The Honest Company.
  • C. Rose McGowan
    Rose McGowan is an American actress and activist best known for her roles in the TV series "Charmed" and films like "Scream" and "Jawbreaker," as well as for her prominent involvement in the #MeToo movement.
  • D. Katie Holmes
    Katie Holmes is an American actress best known for her role as Joey Potter on the television series "Dawson's Creek" and for her work in film and theater.
  • E. Amy Smart
    Amy Smart is an American actress and former fashion model known for her roles in films such as "Crank," "Road Trip," and "The Butterfly Effect."
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f2377c8190b0176b4c6776815e completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281cef58819095182f8c89fe6e59 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.