Triple
T14384645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Count of Monte Cristo (1975 film) |
E356691
|
entity |
| Predicate | director |
P255
|
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: [The Count of Monte Cristo (1975 film), director, David Greene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Greene Context triple: [The Count of Monte Cristo (1975 film), director, 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.
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."
-
C.
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.
-
D.
Charles Greene
Charles Greene is the son of Canadian actor and broadcaster Lorne Greene, best known for his role in the television series "Bonanza."
-
E.
David M. Green
David M. Green is a distinguished figure in the field of acoustics recognized for his significant contributions with the prestigious ASA Gold Medal.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5513e8888190bc6b6cb33fd9b670 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.