Triple

T21943689
Position Surface form Disambiguated ID Type / Status
Subject Pi Patel E541883 entity
Predicate petOwnerOf P42149 FINISHED
Object Richard Parker 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: Richard Parker | Statement: [Pi Patel, petOwnerOf, Richard Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Parker
Context triple: [Pi Patel, petOwnerOf, Richard Parker]
  • A. Richard Parker chosen
    Richard Parker is the Bengal tiger who becomes the central animal companion and symbolic figure in Yann Martel’s novel *Life of Pi*.
  • B. Richard Parker
    Richard Parker was a British sailor best known for leading the 1797 Nore mutiny, one of the most significant naval uprisings in Royal Navy history.
  • C. Richard Parker
    Richard Parker is a scientist and the father of Peter Parker in the Spider-Man comics and films, whose mysterious past often plays a key role in Peter’s origin story.
  • D. Richard Parker
    Richard Parker is a British Labour politician who serves as the Mayor of the West Midlands, overseeing regional governance and economic development in the area.
  • E. James Crabe
    James Crabe was an American cinematographer best known for his work on influential films of the 1970s and 1980s, including the original Rocky.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242515ec8190b015bf8c7b13be85 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.