Triple
T10880681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Gunn |
E256910
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gunn |
E730466
|
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: Gunn | Statement: [Sean Gunn, familyName, Gunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunn Context triple: [Sean Gunn, familyName, Gunn]
-
A.
Gunn
chosen
Gunn is a surname most prominently associated with American filmmaker James Gunn, known for directing the Guardians of the Galaxy and The Suicide Squad films.
-
B.
Gunn (1967 film)
Gunn (1967 film) is a 1967 crime film adaptation of the television series "Peter Gunn," featuring Craig Stevens reprising his role as the suave private detective.
-
C.
Gunner
Gunner is a masculine given name and surname of English origin, often associated with strength and warrior-like qualities.
-
D.
Guion
Guion is a surname of French origin historically associated with several notable families and individuals.
-
E.
Loren
Loren is a given name used for people of any gender, often as a variant or shortened form of names like Lorenzo or Lauren.
- 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.