Triple

T10512462
Position Surface form Disambiguated ID Type / Status
Subject Love and Hisses E247948 entity
Predicate hasCastMember P2308 FINISHED
Object George Givot E349978 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: George Givot | Statement: [Love and Hisses, hasCastMember, George Givot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Givot
Context triple: [Love and Hisses, hasCastMember, George Givot]
  • A. George Givot chosen
    George Givot was an American actor and comedian best known for his character roles and dialect work in film and radio during the mid-20th century.
  • B. Kevin Grevioux
    Kevin Grevioux is an American actor, screenwriter, and comic book writer best known for co-creating the dark fantasy film franchise "Underworld."
  • C. James LeGros
    James LeGros is an American character actor known for his work in independent films and television, including roles in projects like "Drugstore Cowboy," "Ally McBeal," and "Justified."
  • D. Joel Desrouleaux
    Joel Desrouleaux is the brother of American singer, songwriter, and dancer Jason Derulo.
  • E. Eric Gautier
    Eric Gautier is a French cinematographer renowned for his visually distinctive work on acclaimed international films and collaborations with prominent auteurs.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509ca214481909b3ed9265e7a6704 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcf65f808190993dbacde2df20eb completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:27 p.m.