Triple

T8777188
Position Surface form Disambiguated ID Type / Status
Subject From Chaos E208614 entity
Predicate producer P490 FINISHED
Object Ron Saint Germain E217698 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: Ron Saint Germain | Statement: [From Chaos, producer, Ron Saint Germain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Saint Germain
Context triple: [From Chaos, producer, Ron Saint Germain]
  • A. Ron Saint Germain chosen
    Ron Saint Germain is a veteran music producer and engineer known for his work across rock, alternative, and hip-hop with artists such as U2, Sonic Youth, and 311.
  • B. Steve Germain
    Steve Germain is a businessman and sports team owner best known for owning the Frisco Fighters indoor football franchise.
  • C. Stephen Hamel
    Stephen Hamel is a film producer known for his work on science fiction and genre films, including the space-set romance thriller "Passengers."
  • D. Eric Gautier
    Eric Gautier is a French cinematographer renowned for his visually distinctive work on acclaimed international films and collaborations with prominent auteurs.
  • E. Edward LeSaint
    Edward LeSaint was an American actor and film director active during the silent and early sound eras, appearing in and directing numerous films in the early 20th century.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f51b3d48190b542a0423d3938e0 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f33ca1081908d65d14c83199c5a completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:42 p.m.