Triple
T18136168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Farrell |
E434141
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Farrell |
—
|
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: Michael Farrell | Statement: [Michael Farrell, name, Michael Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Farrell Context triple: [Michael Farrell, name, Michael Farrell]
-
A.
Michael Farrell
chosen
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.
-
B.
Neil Farrell
Neil Farrell is a film editor best known for his work on Kenneth Branagh’s 1996 adaptation of Hamlet.
-
C.
Colm Meaney
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.
-
D.
Jonathan Doyle
Jonathan Doyle is a musician best known as a member of the London-based reggae and ska-influenced band The Skints.
-
E.
Brian Finneran
Brian Finneran is a former American football wide receiver best known for his NFL career with the Atlanta Falcons.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de07b4b4819085fe80beb7addfd0 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.