Triple

T11124716
Position Surface form Disambiguated ID Type / Status
Subject White Shoes E263104 entity
Predicate hasTrack P3284 FINISHED
Object In My Dreams E649734 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: In My Dreams | Statement: [White Shoes, hasTrack, In My Dreams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In My Dreams
Context triple: [White Shoes, hasTrack, In My Dreams]
  • A. In My Dreams
    "In My Dreams" is a key musical number from the stage adaptation of the animated film *Anastasia*, expressing the heroine Anya’s longing for her lost past and identity.
  • B. In My Dreams chosen
    In My Dreams is a 2014 Hallmark Hall of Fame romantic fantasy television film starring JoBeth Williams alongside Katharine McPhee and Mike Vogel.
  • C. In Dreams
    In Dreams is a 1999 psychological horror-thriller film directed by Neil Jordan and starring Annette Bening and Robert Downey Jr.
  • D. In Dreams
    "In Dreams" is a 1963 Roy Orbison ballad renowned for its haunting melody, operatic vocal style, and enduring influence on pop and rock music.
  • E. Only in Dreams
    "Only in Dreams" is an epic, emotionally charged closing track by Weezer, known for its slow build, introspective lyrics, and powerful extended guitar climax.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82e933481908550499cf9dd6531 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d89378c8190acc7afd1ecdbfbac completed April 19, 2026, 1:19 a.m.
Created at: April 8, 2026, 9:28 p.m.