Triple

T20591723
Position Surface form Disambiguated ID Type / Status
Subject David Greene E505944 entity
Predicate name P16 FINISHED
Object David Greene E505944 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: David Greene | Statement: [David Greene, name, David Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Greene
Context triple: [David Greene, name, David Greene]
  • A. David Greene chosen
    David Greene was a British-born film and television director known for his work on acclaimed TV movies and miniseries from the 1960s through the 1990s.
  • B. Christopher Greene
    Christopher Greene was an American Revolutionary War officer best known for leading the 1st Rhode Island Regiment, one of the earliest racially integrated units in the Continental Army.
  • C. Joseph Greene
    Joseph Greene was a Canadian Liberal politician who served as a Member of Parliament and was a candidate in the 1968 Liberal Party of Canada leadership race.
  • D. Peter Greene
    Peter Greene is an American character actor best known for playing intense and often villainous roles in films such as "The Mask" and "Pulp Fiction."
  • E. Jeff Greene
    Jeff Greene is a fictional character on the HBO comedy series "Curb Your Enthusiasm," known as Larry David’s affable but often morally flexible manager and best friend.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a97c10f081909daf635e9be0dd22 completed April 20, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3e879788190bc3b66d809c4b59b completed May 16, 2026, 6:14 p.m.
Created at: April 16, 2026, 11:40 a.m.