Triple

T5972212
Position Surface form Disambiguated ID Type / Status
Subject Marc Shaiman E132898 entity
Predicate notableWork P4 FINISHED
Object Smash (TV series) music E26329 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: Smash (TV series) music | Statement: [Marc Shaiman, notableWork, Smash (TV series) music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smash (TV series) music
Context triple: [Marc Shaiman, notableWork, Smash (TV series) music]
  • A. Smash chosen
    Smash is an American musical drama television series that follows the creation of a Broadway show about Marilyn Monroe, featuring Jennifer Hudson in a prominent role.
  • B. Smash
    Smash is a 1994 punk rock album by The Offspring that became a breakthrough commercial success and a defining record of 1990s punk.
  • C. Crush Music
    Crush Music is an American music management and record company known for working with prominent rock and pop artists.
  • D. Band Hero
    Band Hero is a family-friendly music rhythm video game that adapts the Guitar Hero formula with a pop-oriented soundtrack and full band gameplay.
  • E. Slam
    Slam is a coming-of-age novel by Nick Hornby that follows a teenage skateboarder grappling with unexpected fatherhood and the challenges of growing up.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a00c3588190b335d7d3341b6d68 completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40fa2488190b82d604d51b73090 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:03 p.m.