Triple
T14778703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Mison |
E347332
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tom Mison |
E347332
|
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: Tom Mison | Statement: [Tom Mison, name, Tom Mison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Mison Context triple: [Tom Mison, name, Tom Mison]
-
A.
Tom Mison
chosen
Tom Mison is an English actor best known for playing Ichabod Crane in the supernatural drama television series "Sleepy Hollow."
-
B.
Michael York
Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
-
C.
Brian Finneran
Brian Finneran is a former American football wide receiver best known for his NFL career with the Atlanta Falcons.
-
D.
Saul Rubinek
Saul Rubinek is a Canadian character actor and director known for his prolific film and television work, including roles in projects like "Unforgiven," "True Romance," and the series "Warehouse 13."
-
E.
Peter Cummings
Peter Cummings was an architect known for designing notable British entertainment venues, including the Manchester Apollo theatre.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec817c39081909b08a0ffdfce9936 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5a2413c8190858e84cbc87b816d |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 1:31 a.m.