Triple
T12129816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bashorun |
E288904
|
entity |
| Predicate | notableOfficeHolder |
P5750
|
FINISHED |
| Object | Bashorun Gaa |
E288904
|
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: Bashorun Gaa | Statement: [Bashorun, notableOfficeHolder, Bashorun Gaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bashorun Gaa Context triple: [Bashorun, notableOfficeHolder, Bashorun Gaa]
-
A.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
B.
Bashorun
chosen
Bashorun was the powerful prime minister and military leader of the Oyo Empire, often acting as kingmaker and de facto ruler.
-
C.
Guruguha
Guruguha is the distinctive mudra (composer’s signature) adopted by the Carnatic music composer Muthuswami Dikshitar, often embedded in the lyrics of his kritis.
-
D.
El Basatin
El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
-
E.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158a2c2c8190aaff9d0cce177565 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68ac15c81908388dd3194e9dfc4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.