Triple
T19234173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everything Zen |
E480950
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Matt Mahurin |
E587486
|
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: Matt Mahurin | Statement: [Everything Zen, musicVideoDirector, Matt Mahurin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Mahurin Context triple: [Everything Zen, musicVideoDirector, Matt Mahurin]
-
A.
Matt Mahurin
chosen
Matt Mahurin is an American illustrator, photographer, and acclaimed music video and film director known for his dark, surreal visual style in collaborations with major rock and alternative artists.
-
B.
Mike Bennion
Mike Bennion is a musician best known for having been an early member of the British progressive rock band Porcupine Tree.
-
C.
Brian Mahoney
Brian Mahoney is an actor best known for his role in the cult crime film "The Boondock Saints."
-
D.
Matthew McNulty
Matthew McNulty is a British actor known for his work in film and television, including roles in series like "Misfits," "The Mill," and "Versailles."
-
E.
Matt Treanor
Matt Treanor is a former American Major League Baseball catcher who played for several teams in the 2000s and early 2010s.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faeb53988190b83afee9974058c6 |
completed | April 20, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bca7f188190a7659b6e9833225b |
completed | May 15, 2026, 1:12 p.m. |
Created at: April 10, 2026, 1:26 p.m.