Triple

T20267239
Position Surface form Disambiguated ID Type / Status
Subject Shapeshifting E498999 entity
Predicate featuresMusician P20942 FINISHED
Object Eric Caudieux 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: Eric Caudieux | Statement: [Shapeshifting, featuresMusician, Eric Caudieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Caudieux
Context triple: [Shapeshifting, featuresMusician, Eric Caudieux]
  • A. Eric Caudieux chosen
    Eric Caudieux is a French music producer, engineer, and editor known for his work with rock and metal artists, including contributions to Guns N’ Roses’ long-delayed album "Chinese Democracy."
  • B. Andrew Cividino
    Andrew Cividino is a Canadian film and television director best known for his work on the acclaimed comedy series "Schitt's Creek."
  • C. Christopher LaSalle
    Christopher LaSalle is a fictional NCIS Senior Field Agent known for his Southern charm, loyalty, and hands-on investigative style on the television series "NCIS: New Orleans."
  • D. Jon Caliri
    Jon Caliri is an actor best known for playing the character Vinnie Pasetta.
  • E. Chris Sievernich
    Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674d001f081908910eedd262ae13a completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:42 p.m.