Triple
T12669010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Dorn |
E302627
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Colm Meaney |
E100700
|
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: Colm Meaney | Statement: [Michael Dorn, workedWith, Colm Meaney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colm Meaney Context triple: [Michael Dorn, workedWith, Colm Meaney]
-
A.
Colm Meaney
chosen
Colm Meaney is an Irish actor best known for his roles in Star Trek: The Next Generation and Deep Space Nine, as well as numerous film and television appearances.
-
B.
Pádraig Cusack
Pádraig Cusack is an Irish theatre producer and arts administrator known for his work with major UK and international theatre companies.
-
C.
Joseph Sweeney
Joseph Sweeney was an American character actor best known for his portrayal of the elderly Juror No. 9 in the classic courtroom drama "12 Angry Men."
-
D.
Michael Farrell
Michael Farrell is an Irish civil rights activist and lawyer known for his prominent role in the Northern Ireland civil rights movement and leadership within the People's Democracy organization.
-
E.
Gabriel Byrne
Gabriel Byrne is an Irish actor known for his nuanced performances in film, television, and theater, including prominent roles in works like "The Usual Suspects" and the HBO series "In Treatment."
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684dfce0c8190b3b8260450bd6967 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:20 p.m.