Triple
T18690865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaus Kinski |
E456994
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cobra Verde |
—
|
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: Cobra Verde | Statement: [Klaus Kinski, notableWork, Cobra Verde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobra Verde Context triple: [Klaus Kinski, notableWork, Cobra Verde]
-
A.
Cobra Verde
chosen
Cobra Verde is a 1987 historical adventure film directed by Werner Herzog and starring Klaus Kinski as a Brazilian bandit turned slave trader in West Africa.
-
B.
The Cobra
The Cobra is a thriller novel by Frederick Forsyth that follows a former CIA operative given unlimited resources to wage a global war against the cocaine trade.
-
C.
Cobra
Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
-
D.
Cobra
Cobra is the athletic mascot representing Parkland College’s sports teams.
-
E.
Cobra
Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e3a6d08190b2409bcbf0c42444 |
completed | April 19, 2026, 11:18 p.m. |
Created at: April 10, 2026, 11:49 a.m.