Triple

T20208667
Position Surface form Disambiguated ID Type / Status
Subject Dr. No E493427 entity
Predicate character P662 FINISHED
Object Quarrel NE NERFINISHED

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, character, Quarrel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quarrel
Context triple: [Dr. No, character, 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. 'Tis
    Tis is Frank McCourt’s memoir that continues the story begun in Angela’s Ashes, focusing on his experiences as an Irish immigrant building a life in America.
  • C. The Courser
    The Courser is the English rendering of the Arabic name "Al-Adiyat," referring to the charging war-horses evoked in the 100th chapter of the Qur’an.
  • D. Furore
    Furore is a small coastal village on Italy’s Amalfi Coast, known for its dramatic fjord-like inlet, cliffside houses, and scenic Mediterranean views.
  • E. Quarrel & Quandary
    Quarrel & Quandary is a collection of essays by American writer Cynthia Ozick that explores literature, culture, and moral philosophy with her characteristic intellectual rigor and wit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d94999c8190b67051cb0acea213 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.