Triple

T20610993
Position Surface form Disambiguated ID Type / Status
Subject Oran "Hot Lips" Page E506445 entity
Predicate nickname P55 FINISHED
Object Hot Lips Page NE NERFINISHED

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: Hot Lips Page | Statement: [Oran "Hot Lips" Page, nickname, Hot Lips Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot Lips Page
Context triple: [Oran "Hot Lips" Page, nickname, Hot Lips Page]
  • A. Hot Lips Page chosen
    Hot Lips Page was an American jazz trumpeter and vocalist known for his powerful, blues-inflected playing and work with leading swing-era bands.
  • B. Hot Lips
    Hot Lips is the nickname of Oran "Hot Lips" Page, an influential American jazz trumpeter and vocalist known for his powerful playing and contributions to the swing era.
  • C. Hot Lips
    Hot Lips is the nickname of Major Margaret Houlihan, the strict yet evolving head nurse character from the M*A*S*H franchise.
  • D. Cookie Lips
    "Cookie Lips" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, lo-fi sound.
  • E. Lips
    Lips is a Dutch surname borne by various individuals, including those of Flemish and Dutch origin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad6f53481908fb242947dda7028 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.