Triple

T10718748
Position Surface form Disambiguated ID Type / Status
Subject Searching for Maria E252759 entity
Predicate hasTitle P38 FINISHED
Object Searching for Maria E252759 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: Searching for Maria | Statement: [Searching for Maria, hasTitle, Searching for Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Searching for Maria
Context triple: [Searching for Maria, hasTitle, Searching for Maria]
  • A. Searching for Maria
    "Searching for Maria" is a segment or component of the larger work "Liberation," likely contributing a focused narrative or thematic exploration within that overall piece.
  • B. Goodbye Marie
    "Goodbye Marie" is a country song recorded by Kenny Rogers about a bittersweet farewell to a lover.
  • C. My Maria
    "My Maria" is a popular country song, originally recorded by B.W. Stevenson and later made famous by the American country duo Brooks & Dunn with their hit 1996 cover.
  • D. Marliana
    Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
  • E. Capturing Mary
    Capturing Mary is a British television drama film written and directed by Stephen Poliakoff that explores memory, power, and buried secrets through an elderly woman's recollections of a disturbing encounter in post-war London society.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff36558c81908682adbe7b5dce05 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.