Triple
T9763193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Pope |
E236715
|
entity |
| Predicate | hasCreator |
P806
|
FINISHED |
| Object | James Duff |
E217523
|
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: James Duff | Statement: [Will Pope, hasCreator, James Duff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Duff Context triple: [Will Pope, hasCreator, James Duff]
-
A.
James Duff
chosen
James Duff is an American television writer and producer best known for creating the crime drama series "The Closer."
-
B.
Andrew Duncan
Andrew Duncan was a British industrialist and politician who served as the United Kingdom’s Minister of Supply during the Second World War.
-
C.
Duncan Stewart
Duncan Stewart is a music producer best known for his work on U2’s album "Songs of Surrender."
-
D.
Ian Duncan
Ian Duncan is a neurotic and often ineffectual psychology professor on the sitcom "Community," portrayed by comedian John Oliver.
-
E.
Duncan Wedderburn
Duncan Wedderburn is a flamboyant, hedonistic lawyer who serves as one of Bella Baxter’s main companions and antagonistic foils in the surreal, darkly comic world of "Poor Things."
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09d8bc88190808145f141b4a9f8 |
completed | April 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcf2cdd08190a051d406e199f45a |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:25 p.m.