Triple

T3702346
Position Surface form Disambiguated ID Type / Status
Subject Mackenzie Foy E80807 entity
Predicate appearedIn P795 FINISHED
Object Black Beauty E381882 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: Black Beauty | Statement: [Mackenzie Foy, appearedIn, Black Beauty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Beauty
Context triple: [Mackenzie Foy, appearedIn, Black Beauty]
  • A. Black Beauty chosen
    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.
  • B. White Fang
    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.
  • C. Rebecca of Sunnybrook Farm
    Rebecca of Sunnybrook Farm is a 1938 musical film adaptation of Kate Douglas Wiggin’s novel, best known for starring Shirley Temple as the spirited orphan Rebecca.
  • D. Marigold the Bear
    Marigold the Bear is one of the costumed spirit mascots representing Baylor University's athletic teams.
  • E. The Golden Stallion
    The Golden Stallion is a 1949 Western film starring singing cowboy Roy Rogers and his famous horse Trigger, blending action, music, and adventure.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54925b48190b23d2a14ef825abc completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db041370819084b04e46d95ca966 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:33 p.m.