Triple
T9067073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beni-Amer |
E217269
|
entity |
| Predicate | selfIdentification |
P4296
|
FINISHED |
| Object | Beni-Amer |
E217269
|
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: Beni-Amer | Statement: [Beni-Amer, selfIdentification, Beni-Amer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beni-Amer Context triple: [Beni-Amer, selfIdentification, Beni-Amer]
-
A.
Beni-Amer
chosen
The Beni-Amer are a pastoralist ethnic group of mixed Beja and Tigre heritage living primarily in eastern Sudan and western Eritrea.
-
B.
Yucuna
Yucuna are an Indigenous people of the Colombian and Brazilian Amazon, known for their Arawakan language, traditional riverine livelihoods, and rich ritual and cosmological traditions.
-
C.
Amery
Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
-
D.
Ameer
Ameer is an Indian film director best known for his critically acclaimed work in Tamil cinema.
-
E.
Arellano
Arellano is a Spanish-origin surname borne by various notable individuals across fields such as sports, politics, and the arts.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bde9c08190a4f568fbccc3c3e9 |
completed | April 1, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffddc5c288190b18c2ae1aece4ed6 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.