Triple

T23214725
Position Surface form Disambiguated ID Type / Status
Subject Lipstick, Powder and Paint E580702 entity
Predicate hasTrack P3284 FINISHED
Object I Might 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: I Might | Statement: [Lipstick, Powder and Paint, hasTrack, I Might]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Might
Context triple: [Lipstick, Powder and Paint, hasTrack, I Might]
  • A. I Might chosen
    "I Might" is a song by the American indie rock band Wilco, released as the lead single from their 2011 album "The Whole Love."
  • B. I Just Might
    "I Just Might" is a key musical number from the stage adaptation of "9 to 5," reflecting the characters’ aspirations and frustrations within their workplace struggles.
  • C. I Just Might Be
    "I Just Might Be" is a country music song recorded by American singer Lorrie Morgan.
  • D. Might Not
    "Might Not" is a song by American rapper Belly, known for its moody production and collaboration with The Weeknd.
  • E. Some Might Say
    "Some Might Say" is a 1995 Britpop anthem by the English rock band Oasis, known as one of their major hit singles and a defining track of their early career.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19163b9b88190a68fa6d08d37bdb7 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.