Triple
T18184930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcadio |
E435386
|
entity |
| Predicate | roleInMacondo |
P130137
|
FINISHED |
| Object | dictator |
—
|
LITERAL 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: dictator | Statement: [Arcadio, roleInMacondo, dictator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMacondo Context triple: [Arcadio, roleInMacondo, dictator]
-
A.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
B.
roleInBabel
Indicates that an entity participates in the Babel project or system with a specific role or function.
-
C.
roleInPeru
Indicates that an entity holds or has held an official or notable role, position, or function within the country of Peru.
-
D.
roleInKuomboka
Indicates that an entity holds a specific role or function within the context of the Kuomboka ceremony or event.
-
E.
ethnographicRole
Indicates the role or function an entity holds within an ethnographic context, such as a cultural, social, or research-related position.
- F. None of above. chosen
Provenance (4 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffdccd881908da772db78b9d081 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:31 a.m.