Triple
T10880688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Gunn |
E256910
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Matt Gunn |
E730468
|
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 Gunn | Statement: [Sean Gunn, sibling, Matt Gunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Gunn Context triple: [Sean Gunn, sibling, Matt Gunn]
-
A.
Matt Gunn
chosen
Matt Gunn is an American writer, actor, and producer known for his work in film and television and as part of the creative Gunn family.
-
B.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
-
C.
Matt Gould
Matt Gould is a musician and vocalist known for performing the opening theme of the television series "Turn: Washington's Spies."
-
D.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
-
E.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751b031a88190b1182dfc1f520264 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7e2322c8190a55605237ae6ce95 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.