Triple
T20352498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaphet Kotto |
E496049
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kotto |
—
|
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: Kotto | Statement: [Yaphet Kotto, familyName, Kotto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotto Context triple: [Yaphet Kotto, familyName, Kotto]
-
A.
Kotto
chosen
Kotto is the surname of Yaphet Kotto, an American actor best known for his roles in films like "Alien" and the James Bond movie "Live and Let Die."
-
B.
Kiyoshi
Kiyoshi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, arts, and sports.
-
C.
Shinya
Shinya is a Japanese given name commonly used for males.
-
D.
Yojiro
Yojiro is a Japanese given name commonly used for males.
-
E.
Goro
Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.