Triple

T10282324
Position Surface form Disambiguated ID Type / Status
Subject Donald Kushner E241131 entity
Predicate producerOf P490 FINISHED
Object White Fang E112220 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 Fang | Statement: [Donald Kushner, producerOf, White Fang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Fang
Context triple: [Donald Kushner, producerOf, White Fang]
  • A. White Fang chosen
    White Fang is a classic adventure novel by Jack London that follows the brutal yet redemptive life of a wolfdog in the Yukon during the Klondike Gold Rush.
  • B. The Call of the Wild
    The Call of the Wild is a classic 1903 adventure novel by Jack London that follows a domesticated dog’s brutal struggle for survival and transformation in the Yukon during the Klondike Gold Rush.
  • C. Black Beauty
    Black Beauty is a 2020 drama film adaptation of Anna Sewell’s classic novel, featuring Mackenzie Foy as a modernized version of the story’s young heroine.
  • D. The Twa Dogs
    The Twa Dogs is a satirical poem by Robert Burns in which two dogs discuss and contrast the lives of the rich and the poor in 18th-century Scotland.
  • E. White Man’s Dog
    White Man’s Dog is the young Blackfeet protagonist of James Welch’s novel "Fools Crow," whose coming-of-age journey unfolds amid the cultural and historical upheavals facing his people in the late 19th century.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a177b48190aab7d7857f5bba7b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8352a108190b3692a2de3cb4dea completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:39 a.m.