Triple

T9471186
Position Surface form Disambiguated ID Type / Status
Subject Benj Pasek E228392 entity
Predicate notableWork P4 FINISHED
Object Smash (TV series) songs 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) songs | Statement: [Benj Pasek, notableWork, Smash (TV series) songs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smash (TV series) songs
Context triple: [Benj Pasek, notableWork, Smash (TV series) songs]
  • 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. Smash David
    Smash David is an American record producer and songwriter known for crafting hip-hop and R&B hits for major artists.
  • D. SMASH
    SMASH is an educational program focused on advancing STEM opportunities and equity for underrepresented high school and college students.
  • E. SMASH Academy
    SMASH Academy is an educational nonprofit program focused on advancing STEM opportunities and college readiness for underrepresented high school students.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fee13a88190b4532fb92ddaf401 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122cd0728819088f6c832cd90d832 completed April 4, 2026, 2:40 p.m.
Created at: March 30, 2026, 7:54 p.m.