Triple
T7824243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fixing Failed States |
E181204
|
entity |
| Predicate | workOf |
P4
|
FINISHED |
| Object | Ashraf Ghani |
E34442
|
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: Ashraf Ghani | Statement: [Fixing Failed States, workOf, Ashraf Ghani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashraf Ghani Context triple: [Fixing Failed States, workOf, Ashraf Ghani]
-
A.
Ashraf Ghani
chosen
Ashraf Ghani is an Afghan academic and politician who served as President of Afghanistan from 2014 until the Taliban takeover in 2021.
-
B.
Hibatullah Akhundzada
Hibatullah Akhundzada is the supreme leader of the Taliban and the de facto top authority in Afghanistan since the group’s return to power in 2021.
-
C.
Abdullah Abdullah
Abdullah Abdullah is an Afghan politician and former foreign minister who became a prominent opposition leader and key figure in post-Taliban Afghan politics.
-
D.
Mousa Ghani
Mousa Ghani is a supporting character in the action film "Rambo III," serving as an Afghan guide and ally to John Rambo during his mission.
-
E.
Hamid Karzai
Hamid Karzai is an Afghan politician who served as the country’s first post-Taliban president, leading Afghanistan through the early years of the U.S.-led intervention and subsequent reconstruction efforts.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa0abff08190b0245ceca5f20cae |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a715bbc8190923ef94ccf91c878 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:42 p.m.