Triple

T13481772
Position Surface form Disambiguated ID Type / Status
Subject Amityville: The Awakening E318388 entity
Predicate musicBy P1952 FINISHED
Object Robin Coudert E725821 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: Robin Coudert | Statement: [Amityville: The Awakening, musicBy, Robin Coudert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Coudert
Context triple: [Amityville: The Awakening, musicBy, Robin Coudert]
  • A. Robin Coudert chosen
    Robin Coudert, also known as Rob, is a French musician and film composer recognized for his atmospheric scores for movies such as "Horns" and various French and international productions.
  • B. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • C. Marc de Jonge
    Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
  • D. Joël Scherk
    Joël Scherk was a French theoretical physicist known as one of the pioneers of string theory, contributing foundational ideas to its development in the 1970s.
  • E. Dominique Vandenberg
    Dominique Vandenberg is a Belgian-born martial artist, former Legionnaire, and actor known for his intense, physically demanding roles in action films.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74635145c8190a42199fe4ed8c2a5 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.