Triple

T6357892
Position Surface form Disambiguated ID Type / Status
Subject The Amazing Spider-Man 2 E143037 entity
Predicate producer P490 FINISHED
Object Matt Tolmach E597393 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: Matt Tolmach | Statement: [The Amazing Spider-Man 2, producer, Matt Tolmach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Tolmach
Context triple: [The Amazing Spider-Man 2, producer, Matt Tolmach]
  • A. Matt Tolmach chosen
    Matt Tolmach is an American film producer and former Sony Pictures executive best known for his work on the Spider-Man franchise.
  • B. Russ Titelman
    Russ Titelman is an American record producer and songwriter known for his work with major artists across rock and pop music, including collaborations with the likes of Eric Clapton and George Harrison.
  • C. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • D. Ben D. Waisbren
    Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
  • E. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f5bdd481909cf9db595ddb27df completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6637a1b548190b5af5cbae81346e8 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:32 p.m.