Triple

T954429
Position Surface form Disambiguated ID Type / Status
Subject Dr. No E20594 entity
Predicate featuresCharacter P626 FINISHED
Object Quarrel E103184 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: Quarrel | Statement: [Dr. No, featuresCharacter, Quarrel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quarrel
Context triple: [Dr. No, featuresCharacter, Quarrel]
  • A. Quarrel chosen
    Quarrel is a supporting character in the James Bond film series, portrayed as a loyal Cayman Islander ally who assists Bond in his Caribbean missions.
  • B. Quicunque vult
    Quicunque vult is a traditional Christian statement of faith, commonly known as the Athanasian Creed, that sets out detailed doctrines on the Trinity and the nature of Christ.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. The Truce
    The Truce is a memoir by Primo Levi recounting his long, circuitous journey home through war-torn Europe after his liberation from Auschwitz.
  • E. The Pleased
    The Pleased was an indie rock band from San Francisco known for featuring harpist-singer-songwriter Joanna Newsom as a member early in her career.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3da8d508190b56b29d7f235d2c4 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac17016be0819097207669eae17490 completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.