Triple

T10450484
Position Surface form Disambiguated ID Type / Status
Subject Caroline Thompson E246407 entity
Predicate adaptedWork P1926 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: [Caroline Thompson, adaptedWork, Black Beauty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Beauty
Context triple: [Caroline Thompson, adaptedWork, 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. The New Adventures of Black Beauty
    The New Adventures of Black Beauty is a 1990s family television drama series that continues the classic horse tale of Black Beauty with new characters and storylines.
  • C. 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.
  • D. 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.
  • E. Marigold the Bear
    Marigold the Bear is one of the costumed spirit mascots representing Baylor University's athletic teams.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0a6a548190a54212912f618e4e completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90d9ed4988190b4fee055eaad39c5 completed April 10, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:17 p.m.