Triple
T12170972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendan Durkan |
E289962
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brendan Durkan |
E289962
|
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: Brendan Durkan | Statement: [Brendan Durkan, name, Brendan Durkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brendan Durkan Context triple: [Brendan Durkan, name, Brendan Durkan]
-
A.
Brendan Durkan
chosen
Brendan Durkan is an individual notable enough to be recognized as a bearer of the surname Durkan, though specific widely known public details about him are not readily available.
-
B.
Ed Burke
Ed Burke is a music producer best known for his work on Beyoncé’s concert film and live album "Homecoming."
-
C.
Ed Burke
Ed Burke is a filmmaker best known for co-directing the intimate 2013 HBO documentary about Beyoncé’s life and career, "Life Is But a Dream."
-
D.
Chip Hourihan
Chip Hourihan is an American film producer best known for his work on the acclaimed independent drama "Frozen River."
-
E.
Brian Moynahan
Brian Moynahan is a British journalist, historian, and author known for his works on Russian and European history.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a6de3081908e5e0030c081d5a4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.