Triple
T8766771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Wadd |
E208356
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | John Holmes filmography |
E34928
|
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: John Holmes filmography | Statement: [Johnny Wadd, associatedWith, John Holmes filmography]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Holmes filmography Context triple: [Johnny Wadd, associatedWith, John Holmes filmography]
-
A.
John Holmes
chosen
John Holmes was a famous American adult film actor of the 1970s and early 1980s, widely known for his prolific career and distinctive physical attributes.
-
B.
John Holmes
John Holmes was an American poet and influential creative writing teacher known for mentoring notable poets, including Anne Sexton, at Tufts University.
-
C.
Joseph Gibson
Joseph Gibson was a prominent local figure in North Carolina whose legacy is commemorated in the naming of the town of Gibsonville.
-
D.
Kloves
Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
-
E.
Nicolas Cage
Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf519f029081908ad0ae79f35b3e9d |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:41 p.m.