Triple

T18418953
Position Surface form Disambiguated ID Type / Status
Subject Mark L. Lester E441968 entity
Predicate hasWorkedWith P9615 FINISHED
Object Alyssa Milano NE NERFINISHED

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: [Mark L. Lester, hasWorkedWith, Alyssa Milano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alyssa Milano
Context triple: [Mark L. Lester, hasWorkedWith, 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. Dina Lohan
    Dina Lohan is an American television personality and talent manager best known as the mother and former manager of actress and singer Lindsay Lohan.
  • C. 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.
  • D. Ashley Judd
    Ashley Judd is an American actress known for her roles in 1990s and 2000s thrillers and dramas, as well as for her prominent humanitarian and political activism.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a2a0fb08190b409ed200a9d86a6 completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.