Triple
T13796565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keoma |
E331531
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Keoma |
E331531
|
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: Keoma | Statement: [Keoma, mainCharacter, Keoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keoma Context triple: [Keoma, mainCharacter, Keoma]
-
A.
Keoma
chosen
Keoma is a 1976 Italian spaghetti Western film directed by Enzo G. Castellari, widely regarded as one of Franco Nero’s most iconic and atmospheric roles.
-
B.
Guana
Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
-
C.
Orohena
Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
-
D.
Donnacona
Donnacona is a small town in the Capitale-Nationale region of Quebec, Canada, located west of Quebec City along the Saint Lawrence River.
-
E.
Chaguanas
Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70261c8819099408952f137456d |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.