Triple
T7281458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hulusi Akar |
E163158
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hulusi Akar |
E163158
|
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: Hulusi Akar | Statement: [Hulusi Akar, name, Hulusi Akar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hulusi Akar Context triple: [Hulusi Akar, name, Hulusi Akar]
-
A.
Hulusi Akar
chosen
Hulusi Akar is a Turkish general and politician who served as Chief of the General Staff and later as Turkey’s Minister of National Defense.
-
B.
Supachai Panitchpakdi
Supachai Panitchpakdi is a Thai economist and politician who served as Director-General of the World Trade Organization and later as Secretary-General of the UN Conference on Trade and Development (UNCTAD).
-
C.
Usep Ranawidjaja
Usep Ranawidjaja was an Indonesian politician known for his involvement with the Indonesian National Party (PNI).
-
D.
Taro Aso
Taro Aso is a Japanese politician of the Liberal Democratic Party who has served as Prime Minister and long-time senior cabinet member, including as Deputy Prime Minister and Finance Minister.
-
E.
Hadi Choopan
Hadi Choopan is an Iranian professional bodybuilder renowned for winning the prestigious Mr. Olympia title and for his exceptional muscularity and conditioning on the world stage.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb34fe0c8190a642fd3339f0cacd |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db379e1c81908ebd4c44504ce5fb |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.