Triple
T10525810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan Shaw |
E248300
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Snake Eyes |
E247488
|
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: Snake Eyes | Statement: [Stan Shaw, notableWork, Snake Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snake Eyes Context triple: [Stan Shaw, notableWork, Snake Eyes]
-
A.
Snake Eyes
Snake Eyes is a 2021 action film in the G.I. Joe franchise that serves as an origin story for the titular ninja commando.
-
B.
Snake Eyes
chosen
Snake Eyes is a 1998 mystery-thriller film directed by Brian De Palma and starring Nicolas Cage, centered on a conspiracy unfolding during a high-profile boxing match in Atlantic City.
-
C.
Corvo Attano
Corvo Attano is the silent, masked royal protector-turned-assassin and primary playable protagonist of the Dishonored video game series.
-
D.
Cobra
Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
-
E.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4bbe88190bce7789a56c85671 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e26c4908190b77d73c11bee6119 |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:29 p.m.