Triple

T20619888
Position Surface form Disambiguated ID Type / Status
Subject Star Trek: Short Treks E506670 entity
Predicate featuresCharacter P626 FINISHED
Object Number One 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: Number One | Statement: [Star Trek: Short Treks, featuresCharacter, Number One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Number One
Context triple: [Star Trek: Short Treks, featuresCharacter, Number One]
  • A. Number One
    "Number One" is a song by John Legend from his debut studio album "Get Lifted."
  • B. Number One chosen
    Number One is the composed and highly capable first officer of the USS Enterprise in the Star Trek universe, originally introduced in the 1960s pilot and later portrayed by Rebecca Romijn in modern series.
  • C. Number One
    Number One is the Balmoral Hotel’s acclaimed fine-dining restaurant in Edinburgh, known for its refined Scottish cuisine and elegant setting.
  • D. Number One
    "Number One" is a hit Bongo Flava song by Tanzanian artist Diamond Platnumz that significantly boosted his popularity across East Africa.
  • E. Lookin’ Out for Number One
    "Lookin’ Out for Number One" is a song by the Canadian rock band One to One.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe0e22c81909f6efe21518e33f0 completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:41 a.m.