Triple
T20384774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crispian Mills |
E497930
|
entity |
| Predicate | coDirectedWith |
P17194
|
FINISHED |
| Object | Chris Hopewell |
—
|
NE NERFINISHED |
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: Chris Hopewell | Statement: [Crispian Mills, coDirectedWith, Chris Hopewell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Hopewell Context triple: [Crispian Mills, coDirectedWith, Chris Hopewell]
-
A.
Chris Hopewell
chosen
Chris Hopewell is a British director and animator best known for his distinctive stop-motion and mixed-media music videos for major rock and alternative bands.
-
B.
Jonathan Hopkin
Jonathan Hopkin is a political scientist known for his work on comparative politics, economic inequality, and the dynamics of democratic systems, particularly in Europe.
-
C.
Rob Hopkin
Rob Hopkin is a television producer best known for creating the long-running BBC political debate programme "Question Time."
-
D.
Keith Hopkins
Keith Hopkins was a prominent British historian and sociologist of the ancient world, known especially for his influential work on Roman social and economic history.
-
E.
Josh Hopkins
Josh Hopkins is an American actor known for his work in film and television, including roles in series like "Cougar Town" and various supporting parts in feature films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790a31a4819099b2e6df2bafe547 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.