Triple
T14657122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clean and Sober |
E344139
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nicholas Pryor |
E890841
|
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: Nicholas Pryor | Statement: [Clean and Sober, starring, Nicholas Pryor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Pryor Context triple: [Clean and Sober, starring, Nicholas Pryor]
-
A.
Nicholas Pryor
chosen
Nicholas Pryor is an American character actor known for his extensive work in film and television since the 1960s, often appearing in supporting roles across dramas, thrillers, and comedies.
-
B.
Nicholas Braun
Nicholas Braun is an American actor best known for his Emmy-nominated portrayal of Cousin Greg Hirsch on the HBO series "Succession."
-
C.
Nicholas Knisely
Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
-
D.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
E.
Nicholas Monsour
Nicholas Monsour is a film editor known for his work on Jordan Peele’s horror film "Nope."
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5de0b98819094c32765e4cb3f9c |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.