Triple
T16155299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Doyle-Murray |
E392024
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brian Doyle-Murray |
E392024
|
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: Brian Doyle-Murray | Statement: [Brian Doyle-Murray, name, Brian Doyle-Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Doyle-Murray Context triple: [Brian Doyle-Murray, name, Brian Doyle-Murray]
-
A.
Brian Doyle-Murray
chosen
Brian Doyle-Murray is an American actor, comedian, and writer known for his character roles in films and television and for being the older brother of Bill Murray.
-
B.
Kenneth Finley
Kenneth Finley is the central protagonist of the television series "My Generation," around whom the show's narrative and character dynamics revolve.
-
C.
Thomas Haden Church
Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
-
D.
Joel Murray
Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
-
E.
Martin Mull
Martin Mull is an American actor, comedian, and musician known for his dry wit and roles in television comedies and films.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5902a08190ad8694955ef6073a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007833960819088334e10258a9d72 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:01 a.m.