Triple

T11934813
Position Surface form Disambiguated ID Type / Status
Subject Playwrights Workshop E284010 entity
Predicate hasNotableAlumni P51 FINISHED
Object Naomi Wallace E913950 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: Naomi Wallace | Statement: [Playwrights Workshop, hasNotableAlumni, Naomi Wallace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naomi Wallace
Context triple: [Playwrights Workshop, hasNotableAlumni, Naomi Wallace]
  • A. Naomi Wallace chosen
    Naomi Wallace is an American playwright and screenwriter known for her politically charged, lyrically written works for stage and film.
  • B. Naomi Nelson
    Naomi Nelson is an American filmmaker and producer best known for her work in television and her marriage to actor and stunt performer Johnny Knoxville.
  • C. Naomi Long
    Naomi Long is a Northern Irish politician and leader of the Alliance Party, known for her centrist, cross-community stance and prominent roles in both local and national politics.
  • D. Naomi King
    Naomi King is the daughter of renowned American horror novelist Stephen King.
  • E. Naomi Geraghty
    Naomi Geraghty is a film editor known for her work on feature films such as the comedy-drama "The Upside."
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90306fcf48190a963d2d1932288d1 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4407cc2388190b0f849fbeed89ab7 completed May 1, 2026, 5:56 a.m.
Created at: April 8, 2026, 9:45 p.m.