Triple

T13832872
Position Surface form Disambiguated ID Type / Status
Subject Lonely Girl E332444 entity
Predicate performedBy P1363 FINISHED
Object American singer Pink E75990 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: American singer Pink | Statement: [Lonely Girl, performedBy, American singer Pink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American singer Pink
Context triple: [Lonely Girl, performedBy, American singer Pink]
  • A. Kristina Pink
    Kristina Pink is an American sports reporter best known for her work as an NFL and NBA sideline reporter on national television broadcasts.
  • B. Pink
    Pink is a light, reddish color often associated with softness, romance, and playfulness.
  • C. Pink chosen
    Pink is an American pop-rock singer and songwriter known for her powerful vocals, acrobatic live performances, and hits such as "Just Give Me a Reason" and "So What."
  • D. Melissa Etheridge
    Melissa Etheridge is an American rock singer-songwriter and guitarist known for her raspy vocals, confessional lyrics, and hits such as "Come to My Window" and "I'm the Only One."
  • E. Melissa Womer
    Melissa Womer is an American actress, producer, and former waitress best known for her marriage to comedian and actor Jim Carrey and for her work behind the scenes in television.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029a34bc8190ae892ef7b09fc9e9 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8efe0948190aaf972cccc2ebc90 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.