Triple

T6271018
Position Surface form Disambiguated ID Type / Status
Subject White Nights E140534 entity
Predicate title P38 FINISHED
Object White Nights E140534 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: White Nights | Statement: [White Nights, title, White Nights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Nights
Context triple: [White Nights, title, White Nights]
  • A. White Nights
    White Nights is a natural phenomenon in St. Petersburg where, around the summer solstice, the sun barely sets and the city remains bathed in twilight almost all night.
  • B. White Nights chosen
    "White Nights" is a 1985 dance‑drama film starring Mikhail Baryshnikov and Gregory Hines, centered on a defector ballerina and a tap dancer in Cold War-era Soviet Russia.
  • C. Sputnik Sweetheart
    Sputnik Sweetheart is a surreal, introspective novel by Haruki Murakami that explores unrequited love, identity, and loneliness through the mysterious disappearance of a young woman.
  • D. Black Night
    "Black Night" is a blues track featured on Buddy Guy's acclaimed 1991 album "Damn Right, I’ve Got the Blues."
  • E. Moscow Does Not Believe in Tears
    "Moscow Does Not Believe in Tears" is a 1980 Soviet romantic drama film that follows the lives of three women in Moscow over two decades, exploring themes of love, ambition, and social change, and won the Academy Award for Best Foreign Language Film.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446629248190945f0f4f4a103bbd completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.