Triple

T13846795
Position Surface form Disambiguated ID Type / Status
Subject Adriana Barraza E332826 entity
Predicate notableWork P4 FINISHED
Object La primera noche E904195 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: La primera noche | Statement: [Adriana Barraza, notableWork, La primera noche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La primera noche
Context triple: [Adriana Barraza, notableWork, La primera noche]
  • A. La primera noche chosen
    La primera noche is a Mexican film best known for featuring acclaimed actress Ana Ofelia Murguía in a prominent role.
  • B. La noche
    "La noche" is a painting by Spanish realist master Antonio López García, exemplifying his meticulous, atmospheric depictions of everyday urban scenes.
  • C. In der Nacht
    "In der Nacht" is the dramatic and nocturnal fourth piece from Robert Schumann’s Fantasiestücke, Op. 12, known for its intense emotional contrasts and evocative storytelling character.
  • D. La mesita de noche
    "La mesita de noche" is a song featured on the original soundtrack of Pedro Almodóvar’s film "Hable con Ella."
  • E. El día y la noche
    "El día y la noche" is a hyperrealist painting by Spanish artist Antonio López García that explores the passage of time and shifting light through meticulous, lifelike detail.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f189008190bb9afeef42564a33 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:13 p.m.