Triple

T17017374
Position Surface form Disambiguated ID Type / Status
Subject Princess Shams al-Nahar E412857 entity
Predicate appearsIn P795 FINISHED
Object The Ebony Horse E90257 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: The Ebony Horse | Statement: [Princess Shams al-Nahar, appearsIn, The Ebony Horse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ebony Horse
Context triple: [Princess Shams al-Nahar, appearsIn, The Ebony Horse]
  • A. The Ebony Horse chosen
    The Ebony Horse is a fantastical tale from The Arabian Nights about a magical mechanical steed that can fly its rider to distant lands, blending romance, adventure, and wonder.
  • B. The Blue Horse
    The Blue Horse was the traditional nickname of the 4th Royal Irish Dragoon Guards, a cavalry regiment of the British Army.
  • C. The Bridle
    The Bridle is a short story by Raymond Carver, known for its minimalist style and exploration of strained relationships and quiet desperation.
  • D. Copper Horse
    Copper Horse is a famous equestrian statue of King George III located at the end of the Long Walk in Windsor Great Park, England.
  • E. Master of the Horse
    The Master of the Horse was a senior court official in the British royal household responsible for overseeing the monarch’s stables, horses, and related ceremonial transport.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4d6cb881909b64b4368fd97fa9 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.