Triple
T16185029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Minister of Gilgit-Baltistan |
E392778
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object |
Gulbar Khan
Gulbar Khan is a Pakistani politician serving as the Chief Minister of the Gilgit-Baltistan region.
|
E1199961
|
NE FINISHED |
How this triple was built (4 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: Gulbar Khan | Statement: [Chief Minister of Gilgit-Baltistan, officeHolder, Gulbar Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulbar Khan Context triple: [Chief Minister of Gilgit-Baltistan, officeHolder, Gulbar Khan]
-
A.
Diler Khan
Diler Khan was a prominent Mughal military general known for leading imperial campaigns in the Deccan, particularly against the Sultanate of Bijapur.
-
B.
Barak Khan
Barak Khan was a 13th-century Mongol ruler who led the Blue Horde, a division of the Golden Horde in Central Asia.
-
C.
Bori Khan
Bori Khan is the primary Rouran warrior antagonist in Disney’s 2020 live-action film "Mulan," leading an invasion of China against the imperial army.
-
D.
Sher Afghan Khan
Sher Afghan Khan was a Mughal nobleman and jagirdar in Bengal, best known as the first husband of Nur Jahan, the future empress of the Mughal Empire.
-
E.
Hasan Bughra Khan
Hasan Bughra Khan was a prominent ruler of the Kara-Khanid dynasty, known for consolidating its power in Central Asia during the late 10th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gulbar Khan Triple: [Chief Minister of Gilgit-Baltistan, officeHolder, Gulbar Khan]
Generated description
Gulbar Khan is a Pakistani politician serving as the Chief Minister of the Gilgit-Baltistan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gulbar Khan Target entity description: Gulbar Khan is a Pakistani politician serving as the Chief Minister of the Gilgit-Baltistan region.
-
A.
Diler Khan
Diler Khan was a prominent Mughal military general known for leading imperial campaigns in the Deccan, particularly against the Sultanate of Bijapur.
-
B.
Barak Khan
Barak Khan was a 13th-century Mongol ruler who led the Blue Horde, a division of the Golden Horde in Central Asia.
-
C.
Bori Khan
Bori Khan is the primary Rouran warrior antagonist in Disney’s 2020 live-action film "Mulan," leading an invasion of China against the imperial army.
-
D.
Sher Afghan Khan
Sher Afghan Khan was a Mughal nobleman and jagirdar in Bengal, best known as the first husband of Nur Jahan, the future empress of the Mughal Empire.
-
E.
Hasan Bughra Khan
Hasan Bughra Khan was a prominent ruler of the Kara-Khanid dynasty, known for consolidating its power in Central Asia during the late 10th century.
- F. None of above. chosen
Provenance (5 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22060dcf88190b7c662946a5f0191 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0550b48190ac84946b7254552b |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0000a8a74c8190925c4140cf4a8520 |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0004ceda8c8190a358f58f76116a7f |
completed | May 10, 2026, 4:08 a.m. |
Created at: April 10, 2026, 5:02 a.m.