Triple
T17581115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirajuddin Haqqani |
E428205
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Haqqani |
E421973
|
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: Haqqani | Statement: [Sirajuddin Haqqani, familyName, Haqqani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haqqani Context triple: [Sirajuddin Haqqani, familyName, Haqqani]
-
A.
Haqqani
chosen
Haqqani is the family name associated with the influential Afghan militant leader Jalaluddin Haqqani and the network he founded.
-
B.
Haqearu
Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
-
C.
Habban
Habban is a town in Yemen known historically as an important local center in the Hadhramaut region.
-
D.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
E.
Haji
Haji is an Islamic honorific title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463cdb1608190a7e249ad6531b1dc |
completed | April 19, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddef82d48190a5940f7da646c380 |
completed | May 11, 2026, 1:47 p.m. |
Created at: April 10, 2026, 5:50 a.m.