Triple

T4924899
Position Surface form Disambiguated ID Type / Status
Subject Chaney E110553 entity
Predicate notableWorkOfBearer P4 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: [Chaney, notableWorkOfBearer, White Fang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Fang
Context triple: [Chaney, notableWorkOfBearer, 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. Old Yeller
    Old Yeller is a classic 1957 American family drama film about a boy and his loyal dog on the Texas frontier, renowned for its emotional impact and enduring popularity.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7163789c81909d5c7d0f6756ca58 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c44e91881909513a679886cbdef completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:30 p.m.