Triple

T13510158
Position Surface form Disambiguated ID Type / Status
Subject Contact E321116 entity
Predicate castMember P1668 FINISHED
Object Max Martini E6095 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: Max Martini | Statement: [Contact, castMember, Max Martini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Martini
Context triple: [Contact, castMember, Max Martini]
  • A. Max Martini chosen
    Max Martini is an American actor known for his tough, military and law-enforcement roles in film and television, including major parts in action and science fiction movies.
  • B. Jeff Chimenti
    Jeff Chimenti is an American keyboardist best known for his long association with post–Grateful Dead bands, including The Other Ones, RatDog, and Dead & Company.
  • C. Marc Silvestri
    Marc Silvestri is an American comic book artist and publisher best known for his influential work at Marvel on titles like Uncanny X-Men and for co-founding Image Comics and creating Top Cow Productions.
  • D. Luke Bosso
    Luke Bosso is an American sports administrator who has served as the athletic director for the IUPUI Jaguars athletic program.
  • E. Mike Kellin
    Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75490291c8190b5985d8c90ef1af6 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.