Triple
T21211195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Greene |
E522723
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Greene |
—
|
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: Peter Greene | Statement: [Peter Greene, name, Peter Greene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Greene Context triple: [Peter Greene, name, Peter Greene]
-
A.
Peter Greene
chosen
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."
-
B.
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.
-
C.
David Greene
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.
-
D.
Jacques Greene
Jacques Greene is a Canadian electronic music producer and DJ known for his emotive, R&B-infused house tracks and influential releases on labels like LuckyMe.
-
E.
Daniel Greene
Daniel Greene is an American actor best known for his role in the 1988 horror-comedy film "Elvira, Mistress of the Dark."
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7346eb20c8190aeb3c0cc0a24aaf9 |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:37 p.m.