Triple

T23307133
Position Surface form Disambiguated ID Type / Status
Subject The Black Stallion Challenged E590477 entity
Predicate seriesCharacter P75850 FINISHED
Object The Black — 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: The Black | Statement: [The Black Stallion Challenged, seriesCharacter, The Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Black
Context triple: [The Black Stallion Challenged, seriesCharacter, The Black]
  • A. The Black chosen
    The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
  • B. The Dark
    The Dark is a children's picture book that gently explores fear of the dark through a quirky, suspenseful story and distinctive illustrations, written in Lemony Snicket’s signature deadpan style.
  • C. The Dark
    "The Dark" is a song featured on the album "Born Again."
  • D. The Dark
    "The Dark" is a song by the American post-hardcore band Stay Gold, known for its emotionally charged lyrics and energetic, melodic sound.
  • E. الشموع السوداء
    الشموع السوداء هو فيلم مصري درامي رومانسي من ستينيات القرن العشرين يُعد من كلاسيكيات السينما العربية.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972846fc819092ca2b9590b2e177 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.