Triple

T16655004
Position Surface form Disambiguated ID Type / Status
Subject Peter Abrams E404704 entity
Predicate notableWork P4 FINISHED
Object A Lot Like Love E318518 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: A Lot Like Love | Statement: [Peter Abrams, notableWork, A Lot Like Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Lot Like Love
Context triple: [Peter Abrams, notableWork, A Lot Like Love]
  • A. A Lot Like Love chosen
    A Lot Like Love is a 2005 romantic comedy-drama film starring Amanda Peet and Ashton Kutcher that follows two strangers whose chance meeting evolves into a years-long, will-they-won’t-they relationship.
  • B. Just Like Love
    "Just Like Love" is a track by the experimental electronic musician No Shape, likely characterized by atmospheric production and emotive, genre-blurring soundscapes.
  • C. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • D. More Love
    "More Love" is a 1980 soft rock song by American singer Kim Carnes that became one of her early charting hits before her breakthrough with "Bette Davis Eyes."
  • E. For Love Alone
    "For Love Alone" is a romance novel written by Ivana Trump that draws on her experiences in high society and glamorous international settings.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfa45d8819081bf8579a7160389 completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c6bf8c81909b376875ae038e3f completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.