Triple
T21945386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Man Called Otto |
E541919
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Matt Chesse |
—
|
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: Matt Chesse | Statement: [A Man Called Otto, editedBy, Matt Chesse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Chesse Context triple: [A Man Called Otto, editedBy, Matt Chesse]
-
A.
Matt Chesse
chosen
Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
-
B.
Matt Czuchry
Matt Czuchry is an American actor best known for his roles on the television series "The Good Wife" and "Gilmore Girls."
-
C.
Matt Walst
Matt Walst is a Canadian rock singer best known as the lead vocalist of the band Three Days Grace.
-
D.
Matt Chaszar
Matt Chaszar is an ice hockey player recognized for having advanced from the Metro Jets junior program.
-
E.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12427c2b48190949c41bd3be2d9f3 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.