Triple

T6131103
Position Surface form Disambiguated ID Type / Status
Subject Margaret O'Brien E136718 entity
Predicate appearedIn P795 FINISHED
Object Journey for Margaret E570708 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: Journey for Margaret | Statement: [Margaret O'Brien, appearedIn, Journey for Margaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Journey for Margaret
Context triple: [Margaret O'Brien, appearedIn, Journey for Margaret]
  • A. Journey for Margaret chosen
    Journey for Margaret is a 1942 American drama film about a young girl orphaned in the London Blitz, starring child actress Margaret O'Brien in one of her early acclaimed roles.
  • B. The Journey
    The Journey is a film score composed by Academy Award–winning British composer Stephen Warbeck.
  • C. The Journey
    The Journey is a literary work by American author Robert Paul Smith, best known for his reflective, character-driven storytelling.
  • D. The Journey
    "The Journey" is a song by the British ska band The Specials, released under their pseudonym Palookaville.
  • E. Journey with the Sun
    Journey with the Sun is a world music–influenced album by violinist Scarlet Rivera, blending her expressive violin work with global rhythms and atmospheric arrangements.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4de9c48190b98f67a6251ec1df completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1416e8fa8819092bf830cbaa56647 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:15 p.m.