Triple

T9198972
Position Surface form Disambiguated ID Type / Status
Subject Will Butler E220787 entity
Predicate recordLabel P1500 FINISHED
Object Merge Records E205824 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: Merge Records | Statement: [Will Butler, recordLabel, Merge Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merge Records
Context triple: [Will Butler, recordLabel, Merge Records]
  • A. Merge Records chosen
    Merge Records is an independent American record label known for releasing influential indie rock and alternative music from artists such as Conor Oberst, Arcade Fire, and Neutral Milk Hotel.
  • B. Combine
    Combine is Apple’s declarative reactive programming framework for handling asynchronous events and data streams in Swift applications.
  • C. Combine
    Combine is a type of artwork, pioneered by Robert Rauschenberg, that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
  • D. Double Merge
    Double Merge is a large-scale abstract installation by American artist Sam Gilliam that exemplifies his innovative draped canvas technique and vibrant use of color.
  • E. Combine work
    Combine work is a style of art pioneered by Robert Rauschenberg that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd880ab808190aa785a5f1e5d5976 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c40267c8190926f4d5c912d0f45 completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:25 p.m.