Triple

T3764324
Position Surface form Disambiguated ID Type / Status
Subject Monster (Kanye West song) E82632 entity
Predicate theme P261 FINISHED
Object power E82630 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: power | Statement: [Monster (Kanye West song), theme, power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: power
Context triple: [Monster (Kanye West song), theme, power]
  • A. Power
    Power is a surname most famously associated with American film star Tyrone Power, known for his swashbuckling and romantic leading roles in Hollywood’s Golden Age.
  • B. Power chosen
    "Power" is a critically acclaimed hip-hop song by Kanye West known for its bombastic production, introspective lyrics, and prominent use of progressive rock and soul samples.
  • C. Power
    Power is a popular American crime drama television series that follows a New York City nightclub owner leading a double life as a drug kingpin.
  • D. Power
    Power is the nickname of the Port Adelaide Football Club’s team that competes in the Australian Football League (AFL).
  • E. POWER1
    POWER1 is IBM’s first-generation 32-bit RISC microprocessor architecture used in early RS/6000 workstations and servers.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfd4be481908242c460a3f00c56 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5221ab08190a3599afbbd5dbc6e completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.