Triple
T12111200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gani Topba |
E288433
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gani Topba |
E288433
|
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: Gani Topba | Statement: [Gani Topba, name, Gani Topba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gani Topba Context triple: [Gani Topba, name, Gani Topba]
-
A.
Gani Topba
chosen
Gani Topba is a prominent leader and activist of the Ogoni people in Nigeria, known for his role in advocating for their rights and environmental justice.
-
B.
Ismail Ankaravi
Ismail Ankaravi was an Ottoman-era Mevlevi scholar and Sufi commentator best known for his influential exegesis on Rumi’s Mathnawi.
-
C.
Aydin Guvan
Aydin Guvan is an architect best known for co-designing the distinctive Palais Omnisports de Paris-Bercy arena in Paris.
-
D.
Güntekin
Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
-
E.
Göklen Turkmen
Göklen Turkmen are a subgroup of the Turkmen people traditionally living in parts of Iran and Turkmenistan, known for their distinct dialect and cultural heritage.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156709288190b4684cb19037dc38 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f67d58d08190be45fb49f0084b49 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.