Triple

T17086375
Position Surface form Disambiguated ID Type / Status
Subject Greg Tarzan Davis E414608 entity
Predicate name P16 FINISHED
Object Greg Tarzan Davis E414608 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: Greg Tarzan Davis | Statement: [Greg Tarzan Davis, name, Greg Tarzan Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Tarzan Davis
Context triple: [Greg Tarzan Davis, name, Greg Tarzan Davis]
  • A. Greg Tarzan Davis chosen
    Greg Tarzan Davis is an American actor known for his roles in high-profile action films such as Top Gun: Maverick and Mission: Impossible – Dead Reckoning Part One.
  • B. Frank Davis
    Frank Davis was an American screenwriter best known for co-writing the acclaimed film adaptation of "A Tree Grows in Brooklyn" (1945).
  • C. Robert Davis
    Robert Davis is an American real estate developer and urban planner best known for creating Seaside, Florida, a pioneering community in the New Urbanism movement.
  • D. Robert Davis
    Robert Davis is a fictional character appearing in the classic musical film "You Were Never Lovelier."
  • E. Paul Davis
    Paul Davis is a British musician best known as a member of the influential Manchester band Happy Mondays.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe7ccb48190b8fb39e2a0ba0782 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee651ec8190a37c5997f394d24b completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.