Triple

T20348144
Position Surface form Disambiguated ID Type / Status
Subject Green Day singles E495927 entity
Predicate includesWork P2011 FINISHED
Object Waiting NE NERFINISHED

How this triple was built (3 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: Waiting | Statement: [Green Day singles, includesWork, Waiting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waiting
Context triple: [Green Day singles, includesWork, Waiting]
  • A. Waiting
    "Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
  • B. Waiting
    "Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
  • C. Waiting
    "Waiting" is an Indian drama film featuring Naseeruddin Shah that explores the emotional struggles of two strangers coping with their spouses in comas.
  • D. Wait
    Wait is a given name historically used in English-speaking contexts, notably in early colonial America.
  • E. Wait
    "Wait" is a synth-driven dream pop song by the French electronic band M83, known for its atmospheric build and emotional, cinematic sound.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waiting
Target entity description: "Waiting" is a pop-punk song by American rock band Green Day, released as a single from their 2000 album "Warning."
  • A. Waiting
    "Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
  • B. Waiting
    "Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
  • C. Waiting
    "Waiting" is an Indian drama film featuring Naseeruddin Shah that explores the emotional struggles of two strangers coping with their spouses in comas.
  • D. Wait
    Wait is a given name historically used in English-speaking contexts, notably in early colonial America.
  • E. Wait
    "Wait" is a synth-driven dream pop song by the French electronic band M83, known for its atmospheric build and emotional, cinematic sound.
  • F. None of above. chosen

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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783af5dc8190a40c3b9816cd1aef completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.