Triple

T2151983
Position Surface form Disambiguated ID Type / Status
Subject Onward E47799 entity
Predicate voiceActor P1507 FINISHED
Object Mel Rodriguez E222761 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: Mel Rodriguez | Statement: [Onward, voiceActor, Mel Rodriguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Rodriguez
Context triple: [Onward, voiceActor, Mel Rodriguez]
  • A. Mel Rodriguez chosen
    Mel Rodriguez is an American actor known for his character roles in film and television, including voice work in animated features.
  • B. Mike McDaniel
    Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
  • C. Steve Twellman
    Steve Twellman is a former American soccer player known for his collegiate and professional career and as a member of the Twellman soccer family.
  • D. Jimbo Fisher
    Jimbo Fisher is an American college football coach best known for leading Florida State to a national championship and later serving as head coach of the Texas A&M Aggies.
  • E. Jim Harbaugh
    Jim Harbaugh is an American football coach and former NFL quarterback known for leading both college and professional teams to national prominence, including successful stints with Stanford, the San Francisco 49ers, and the University of Michigan.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe48ad148190a7d6cc88fd38a660 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e0e1b481909545e8e6d861adfd completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.