Triple
T14641401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan & Ollie |
E343731
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jeff Pope |
E380296
|
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: Jeff Pope | Statement: [Stan & Ollie, screenwriter, Jeff Pope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Pope Context triple: [Stan & Ollie, screenwriter, Jeff Pope]
-
A.
Jeff Pope
chosen
Jeff Pope is a British screenwriter and producer known for his work on acclaimed films and television dramas, including the Oscar-nominated film "Philomena."
-
B.
Thomas Pope
Thomas Pope was a 16th-century English statesman and courtier best known as the founder of Trinity College, Oxford.
-
C.
Keith Griffiths
Keith Griffiths is a British film producer known for his work on distinctive and often experimental independent films.
-
D.
David Martin
David Martin is a film editor best known for his work on the 1986 biographical drama "Sid and Nancy."
-
E.
Martin Pope
Martin Pope is a film and television producer known for his work on acclaimed British and international productions.
- 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_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d2059081908150b6534aebb32f |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.