Triple
T12426362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G. Larry Smith |
E296907
|
entity |
| Predicate | work |
P12692
|
FINISHED |
| Object | "Cobra" |
E61456
|
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: "Cobra" | Statement: [G. Larry Smith, work, "Cobra"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Cobra" Context triple: [G. Larry Smith, work, "Cobra"]
-
A.
Cobra
chosen
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
B.
Cobra
Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
-
C.
Cobra
The "Cobra" is the Northrop YF-17, a lightweight American prototype fighter aircraft that served as the design basis for the F/A-18 Hornet.
-
D.
Cobra
Cobra is the internal codename for IBM and Motorola's first-generation PowerPC 601 microprocessor, used in early PowerPC-based systems in the mid-1990s.
-
E.
Kobra
Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ccda08190be2ff1739c1c6855 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6718723bc8190987fa56147712851 |
completed | May 2, 2026, 9:49 p.m. |
Created at: April 8, 2026, 9:55 p.m.