Triple

T16011699
Position Surface form Disambiguated ID Type / Status
Subject Blindsight E388349 entity
Predicate author P4 FINISHED
Object Peter Watts E388349 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: Peter Watts | Statement: [Blindsight, author, Peter Watts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Watts
Context triple: [Blindsight, author, Peter Watts]
  • A. Peter Watts
    Peter Watts was an English road manager and sound engineer best known for his work with the rock band Pink Floyd and as the father of actress Naomi Watts.
  • B. Peter Watts chosen
    Peter Watts is a Canadian science fiction author and marine biologist known for his hard science fiction novels such as "Blindsight" and for writing the novelization of the video game Crysis 2.
  • C. James McTeigue
    James McTeigue is an Australian film director best known for his work on the dystopian political thriller "V for Vendetta" and his collaborations with the Wachowskis.
  • D. Duncan Jones
    Duncan Jones is a British film director and screenwriter best known for his science fiction films such as "Moon" and "Source Code," as well as the fantasy epic "Warcraft."
  • E. Alex Proyas
    Alex Proyas is an Egyptian-born Australian film director known for visually stylized, genre-bending movies such as "The Crow" and "Dark City."
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1829119648190aef5b5e84b26d898 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbcc12dc8190a80d776b63a6ad35 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:55 a.m.