Triple

T13832418
Position Surface form Disambiguated ID Type / Status
Subject In Flight E332433 entity
Predicate hasPart P35 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: [In Flight, hasPart, In My Dreams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In My Dreams
Context triple: [In Flight, hasPart, In My Dreams]
  • A. 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.
  • B. 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.
  • C. Always in My Dreams
    "Always in My Dreams" is a song by American singer-songwriter Wendy & Lisa from their 1989 album "Fruit at the Bottom."
  • D. In Dreams
    In Dreams is a 1999 psychological horror-thriller film directed by Neil Jordan and starring Annette Bening and Robert Downey Jr.
  • E. 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.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8efe0948190aaf972cccc2ebc90 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.