Triple

T4545435
Position Surface form Disambiguated ID Type / Status
Subject Snowman E110034 entity
Predicate loveInterest P7325 FINISHED
Object Oryx E110035 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: Oryx | Statement: [Snowman, loveInterest, Oryx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oryx
Context triple: [Snowman, loveInterest, Oryx]
  • A. Oryx
    Oryx is a genus of large, long-horned antelopes adapted to arid and desert environments in Africa and the Arabian Peninsula.
  • B. Oryx chosen
    Oryx is a mysterious and resilient woman in Margaret Atwood’s dystopian novel "Oryx and Crake," whose traumatic past and complex relationships profoundly shape the story’s emotional and ethical core.
  • C. Scimitar oryx
    The scimitar oryx is a large, desert-adapted antelope native to North Africa, distinguished by its long, curved horns and pale coat.
  • D. Oryx gazella
    Oryx gazella, commonly known as the gemsbok, is a large, desert-adapted antelope native to arid regions of southern Africa, recognized for its long, straight horns and striking black-and-white facial markings.
  • E. Napier Lion
    The Napier Lion was a powerful British W12 aircraft engine widely used in high-performance military and racing aircraft during the 1920s and early 1930s.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d62a8481909d5d803a582c76a1 completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc564452c819080beada43c9ba7b1 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:05 p.m.