Triple
T12951448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Tyler |
E309901
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Shaun Dingwall |
E324312
|
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: Shaun Dingwall | Statement: [Pete Tyler, portrayedBy, Shaun Dingwall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaun Dingwall Context triple: [Pete Tyler, portrayedBy, Shaun Dingwall]
-
A.
Shaun Dingwall
chosen
Shaun Dingwall is a British actor known for his roles in television dramas such as Doctor Who, Charles II: The Power and the Passion, and Top Boy.
-
B.
Duncan Chalk
Duncan Chalk is a powerful, manipulative media magnate in Robert Silverberg’s science fiction novel "Thorns," known for exploiting others’ pain for entertainment.
-
C.
Michael Dugdale
Michael Dugdale is a central character in the British conspiracy thriller series "Utopia," depicted as a morally conflicted civil servant entangled in a vast and sinister global plot.
-
D.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
E.
Colin Goudie
Colin Goudie is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1dc4c88190ab27b832d6a7c556 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbbf0fb08190aeb1697714942c2b |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.