Triple
T11604203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troy Duffy |
E275211
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Troy Duffy |
E275211
|
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: Troy Duffy | Statement: [Troy Duffy, name, Troy Duffy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Duffy Context triple: [Troy Duffy, name, Troy Duffy]
-
A.
Troy Duffy
chosen
Troy Duffy is an American filmmaker and musician best known for writing and directing the cult crime film "The Boondock Saints."
-
B.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
C.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
D.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
E.
Michael O’Rourke
Michael O’Rourke is best known as the father of the late child actress Heather O’Rourke, who starred in the "Poltergeist" film series.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49c7ab48c8190a7cf4e6be6aacc12 |
completed | May 1, 2026, 12:28 p.m. |
Created at: April 8, 2026, 9:38 p.m.