Triple

T4149951
Position Surface form Disambiguated ID Type / Status
Subject Weapon of Choice E89878 entity
Predicate label P38 FINISHED
Object Astralwerks E94202 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: Astralwerks | Statement: [Weapon of Choice, label, Astralwerks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astralwerks
Context triple: [Weapon of Choice, label, Astralwerks]
  • A. Astralwerks chosen
    Astralwerks is an American record label known for releasing influential electronic and dance music from prominent artists and producers.
  • B. Streamline Records
    Streamline Records is a record label associated with major pop acts, notably helping launch the early career of American singer-songwriter Lady Gaga.
  • C. SteepleChase Records
    SteepleChase Records is a Danish jazz record label known for its extensive catalog of recordings by prominent American and European jazz musicians, particularly from the 1970s onward.
  • D. Regal Recordings
    Regal Recordings is a British record label known for signing prominent artists such as Lily Allen and releasing influential pop and alternative music.
  • E. Rostrum Records
    Rostrum Records is an independent American record label best known for launching the careers of artists like Wiz Khalifa and Mac Miller.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0273a038819087db092da234e767 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4d8f9008190863a10e6d3fb0159 completed March 14, 2026, 10:44 p.m.
Created at: March 9, 2026, 3:43 p.m.