Triple
T13809139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunia |
E331837
|
entity |
| Predicate | hasEthnicGroups |
P12220
|
FINISHED |
| Object | Hema |
E1055539
|
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: Hema | Statement: [Bunia, hasEthnicGroups, Hema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hema Context triple: [Bunia, hasEthnicGroups, Hema]
-
A.
Hema
Hema is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
-
B.
Hema
Hema is a person known primarily through their relationship with Kaushik, with no widely recognized public profile beyond this context.
-
C.
Hema
chosen
Hema are an ethnic group primarily inhabiting parts of northeastern Democratic Republic of the Congo, particularly in and around the former Orientale Province.
-
D.
Nimrata
Nimrata is a given name most prominently associated with Nimrata "Nikki" Haley, an American politician and former U.S. ambassador to the United Nations.
-
E.
Neela
Neela is a central street racer and love interest in the film "The Fast and the Furious: Tokyo Drift," known for her drifting skills in Tokyo's underground racing scene.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08fbc348190a199c5d92e0e46be |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.