Triple

T19862553
Position Surface form Disambiguated ID Type / Status
Subject Letting You Go E477300 entity
Predicate followsInChronology P6880 FINISHED
Object The Waiting 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: The Waiting | Statement: [Letting You Go, followsInChronology, The Waiting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Waiting
Context triple: [Letting You Go, followsInChronology, The Waiting]
  • A. The Waiting chosen
    "The Waiting" is a popular rock song by Tom Petty and the Heartbreakers, known for its jangly guitars and reflective lyrics about anticipation and patience.
  • B. They That Wait
    "They That Wait" is a popular gospel song performed by The Georgia Mass Choir, known for its uplifting message about faith and perseverance.
  • C. The Long Wait
    The Long Wait is a hardboiled crime novel by Mickey Spillane featuring his trademark tough, violent style and twist-driven noir plotting.
  • D. Some Will Wait
    "Some Will Wait" is a song by the American rock band The Story So Far, known for its emotive lyrics and energetic pop-punk style.
  • E. The Wait
    "The Wait" is a 1964 mixed-media assemblage sculpture by American artist Ed Kienholz that presents a haunting, life-sized tableau critiquing mortality, memory, and social decay.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589c4c0081908cd51ff75441e7ac completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.