Triple

T3224446
Position Surface form Disambiguated ID Type / Status
Subject Sophie Sheridan E67589 entity
Predicate singsSong P12693 FINISHED
Object Honey, Honey E48058 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: Honey, Honey | Statement: [Sophie Sheridan, singsSong, Honey, Honey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honey, Honey
Context triple: [Sophie Sheridan, singsSong, Honey, Honey]
  • A. Honey, Honey chosen
    "Honey, Honey" is a catchy pop song by the Swedish group ABBA, featured prominently in the musical and film adaptation of *Mamma Mia!* as one of its early ensemble numbers.
  • B. Honey
    Honey is a popular online shopping tool and browser extension that automatically finds and applies coupon codes to help users save money.
  • C. Honey
    "Honey" is a song that served as the lead single for the musical act Butterfly.
  • D. Wild Honey
    "Wild Honey" is a song by the Irish rock band U2 from their 2000 album *All That You Can’t Leave Behind*.
  • E. Sweetie
    Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1ae8f08190880d0f0e8539cdbc completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625a22148190927b2a63ae3fc726 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.