Triple

T16687423
Position Surface form Disambiguated ID Type / Status
Subject Amy Wright E405499 entity
Predicate notableWork P4 FINISHED
Object Hard Promises E747058 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: Hard Promises | Statement: [Amy Wright, notableWork, Hard Promises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hard Promises
Context triple: [Amy Wright, notableWork, Hard Promises]
  • A. Hard Promises
    Hard Promises is a 1981 rock album by Tom Petty and the Heartbreakers, known for songs like "The Waiting" and its blend of heartland rock and melodic songwriting.
  • B. Hard Promises chosen
    Hard Promises is a 1991 romantic comedy-drama film starring William Petersen as a free-spirited man who returns home to stop his wife’s impending remarriage.
  • C. Broken Promises
    "Broken Promises" is a rock song co-written by guitarist and songwriter Frankie Sullivan, best known for his work with the band Survivor.
  • D. Promises Stronger Than Darkness
    Promises Stronger Than Darkness is a science fiction novel by Charlie Jane Anders that continues her young-adult space opera series about a diverse group of teens fighting to save the universe.
  • E. Hard Sell
    Hard Sell is a 2016 independent comedy-drama film about a prep-school student who teams up with a stripper to raise money for his sick mother.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea75df481909a7ebb9b2a9d0afd completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a45af7c8190bfe09dd0e0573573 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.