Triple
T21397661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negative Man |
E527827
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Matthew Zuk |
—
|
NE NERFINISHED |
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: Matthew Zuk | Statement: [Negative Man, portrayedBy, Matthew Zuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Zuk Context triple: [Negative Man, portrayedBy, Matthew Zuk]
-
A.
Matthew Zuk
chosen
Matthew Zuk is an American actor best known for his role as the physical performer for Negative Man in the television series "Doom Patrol."
-
B.
Matthew Freund
Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
-
C.
Matthew Ziff
Matthew Ziff is an American actor and producer known for his roles in independent films and genre movies.
-
D.
Matt Tauber
Matt Tauber is a film producer known for his work on the drama movie "Meadowland."
-
E.
Mark Brzezicki
Mark Brzezicki is an English rock drummer best known as a founding member of Big Country and a prolific session musician who has played with numerous prominent bands and artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16a9c7c819083bd2d298106fdf1 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:14 p.m.