Triple

T23140252
Position Surface form Disambiguated ID Type / Status
Subject Beastly E577440 entity
Predicate starring P1507 FINISHED
Object Lisa Gay Hamilton 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: Lisa Gay Hamilton | Statement: [Beastly, starring, Lisa Gay Hamilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Gay Hamilton
Context triple: [Beastly, starring, Lisa Gay Hamilton]
  • A. LisaGay Hamilton chosen
    LisaGay Hamilton is an American actress and director best known for her acclaimed work in television, film, and theater, including her role on the legal drama series "The Practice."
  • B. Emily Greer
    Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
  • C. Esme Anne Platt
    Esme Anne Platt is the human-born identity of Esme Cullen, the compassionate matriarch of the Cullen vampire family in the Twilight series.
  • D. Jocelyn Harris
    Jocelyn Harris is a fictional character portrayed by actress Alona Tal, best known from her role in the television series "Veronica Mars."
  • E. Rebecca Gilman
    Rebecca Gilman is an American playwright known for her socially conscious dramas that tackle issues such as class, race, and gender, including works like "Spinning into Butter" and "Boy Gets Girl."
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.