Triple
T14877526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donal Logue |
E349905
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Donal Logue |
E349905
|
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: Donal Logue | Statement: [Donal Logue, name, Donal Logue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donal Logue Context triple: [Donal Logue, name, Donal Logue]
-
A.
Donal Logue
chosen
Donal Logue is a Canadian-American character actor known for his versatile roles in film and television, including prominent parts in projects like "Sons of Anarchy," "Gotham," and "Grounded for Life."
-
B.
Glen Doherty
Glen Doherty was a former U.S. Navy SEAL and CIA security contractor who was killed while defending American personnel during the 2012 Benghazi attack in Libya.
-
C.
Ian Brennan
Ian Brennan is an American television writer, director, and producer best known for co-creating the musical comedy-drama series "Glee."
-
D.
Martin Duggan
Martin Duggan was a prominent 19th-century St. Louis journalist and editor known for his influential role in the city's early press.
-
E.
Michael Foley
Michael Foley is the husband of American actress and writer Jennifer Crystal Foley, known for her roles in television and film.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b54ad7c819082575245da07e358 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.