Triple

T9573021
Position Surface form Disambiguated ID Type / Status
Subject William Turner E230972 entity
Predicate hasFamilyName P18 FINISHED
Object Turner E45991 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: Turner | Statement: [William Turner, hasFamilyName, Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turner
Context triple: [William Turner, hasFamilyName, Turner]
  • A. Turner chosen
    Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
  • B. Turner Whitted
    Turner Whitted is a pioneering computer graphics researcher best known for introducing recursive ray tracing, a foundational technique for realistic image synthesis.
  • C. Sketch Turner
    Sketch Turner is the protagonist of the 1995 Sega Genesis beat ’em up game Comix Zone, depicted as a comic book artist who is pulled into his own comic world to fight its villains.
  • D. Turner Layton
    Turner Layton was an American songwriter, pianist, and singer best known for co-writing popular early 20th-century standards such as "After You've Gone" and "Way Down Yonder in New Orleans."
  • E. Tunner
    Tunner is a surname most notably associated with William H. Tunner, a prominent U.S. Air Force general known for organizing major airlift operations such as the Berlin Airlift.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998d79cc8190b94e5953915a5fa4 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190d741588190a2cced8da13036bb completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 8:04 p.m.