Triple

T8429464
Position Surface form Disambiguated ID Type / Status
Subject Don't Go Breaking My Heart E199082 entity
Predicate writer P1360 FINISHED
Object Carte Blanche E278261 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: Carte Blanche | Statement: [Don't Go Breaking My Heart, writer, Carte Blanche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carte Blanche
Context triple: [Don't Go Breaking My Heart, writer, Carte Blanche]
  • A. Carte Blanche chosen
    Carte Blanche is a James Bond continuation novel by Jeffery Deaver that reboots the iconic spy into a modern-day setting.
  • B. The Thrill
    "The Thrill" is a soulful R&B track by Miguel from his album "Kaleidoscope Dream," known for its atmospheric production and introspective lyrics.
  • C. The Blonde
    The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
  • D. The Concert
    The Concert is a painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined handling of light, color, and genre scenes.
  • E. The Concert
    "The Concert" is a Baroque genre painting by Flemish artist Theodoor Rombouts depicting musicians gathered in an intimate, dramatically lit performance scene.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd125a53c8190b83a4f6148baa779 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce0376b4708190b2d118bcdf1a00fc completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.