Triple

T4567692
Position Surface form Disambiguated ID Type / Status
Subject The Drowning Pool E121948 entity
Predicate musicBy P1952 FINISHED
Object Michael Small E226346 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: Michael Small | Statement: [The Drowning Pool, musicBy, Michael Small]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Small
Context triple: [The Drowning Pool, musicBy, Michael Small]
  • A. Michael Small chosen
    Michael Small was an American film composer best known for his suspenseful and atmospheric scores for 1970s and 1980s thrillers.
  • B. Mike Little
    Mike Little is a British software developer best known as the co‑founder and original co-author of the WordPress content management system.
  • C. Eric McLeod
    Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
  • D. Kevin Cossom
    Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
  • E. Michael Snodgrass
    Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589faccc8190ac0354644099810d completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3bf54448190a7e65cee1a5c48e3 completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.