Triple

T14213111
Position Surface form Disambiguated ID Type / Status
Subject Needle E352279 entity
Predicate recordLabel P1500 FINISHED
Object WaterTower Music E68955 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: WaterTower Music | Statement: [Needle, recordLabel, WaterTower Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WaterTower Music
Context triple: [Needle, recordLabel, WaterTower Music]
  • A. WaterTower Music chosen
    WaterTower Music is an American record label known for releasing soundtracks and scores for major film and television productions.
  • B. Sarkcess Music
    Sarkcess Music is an independent Ghanaian record label founded by acclaimed rapper Sarkodie to manage and promote his music and other artists.
  • C. Gigantic Music
    Gigantic Music is an independent record label known for releasing music by indie rock bands such as The Walkmen.
  • D. GroundUP Music
    GroundUP Music is an independent record label founded by members of the jazz-fusion collective Snarky Puppy, known for championing genre-blending, artist-driven music.
  • E. Orwig Music Library
    Orwig Music Library is Brown University’s specialized library dedicated to music collections, resources, and research support.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd55008a5c8190b005a12df7ef2f75 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:06 a.m.