Triple
T4212153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalaluddin Haqqani |
E93927
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jalaluddin
Jalaluddin was an Afghan militant leader best known as the founder of the Haqqani network, a powerful insurgent group allied with the Taliban.
|
E421972
|
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: Jalaluddin | Statement: [Jalaluddin Haqqani, givenName, Jalaluddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalaluddin Context triple: [Jalaluddin Haqqani, givenName, Jalaluddin]
-
A.
Jalāl al-Dīn
Jalāl al-Dīn is the given name of the 13th-century Persian poet and Sufi mystic widely known in the West as Rumi.
-
B.
Muhammad Miranshah
Muhammad Miranshah was a Timurid prince and son of Abu Sa'id Mirza who played a role in the dynastic politics of Central Asia in the 15th century.
-
C.
Shams-ud-Dīn
Shams-ud-Dīn is the formal given name of the famed 14th-century Persian lyric poet Hafez of Shiraz.
-
D.
Ahmad Khan Mahmidzada
Ahmad Khan Mahmidzada is an Afghan actor best known for playing the young Hassan in the film adaptation of "The Kite Runner."
-
E.
Jalal Mansur Nuriddin
Jalal Mansur Nuriddin was an American poet, musician, and spoken-word pioneer often hailed as a forefather of rap for his politically charged, rhythmically innovative performances.
- 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: Jalaluddin Triple: [Jalaluddin Haqqani, givenName, Jalaluddin]
Generated description
Jalaluddin was an Afghan militant leader best known as the founder of the Haqqani network, a powerful insurgent group allied with the Taliban.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jalaluddin Target entity description: Jalaluddin was an Afghan militant leader best known as the founder of the Haqqani network, a powerful insurgent group allied with the Taliban.
-
A.
Jalāl al-Dīn
Jalāl al-Dīn is the given name of the 13th-century Persian poet and Sufi mystic widely known in the West as Rumi.
-
B.
Muhammad Miranshah
Muhammad Miranshah was a Timurid prince and son of Abu Sa'id Mirza who played a role in the dynastic politics of Central Asia in the 15th century.
-
C.
Shams-ud-Dīn
Shams-ud-Dīn is the formal given name of the famed 14th-century Persian lyric poet Hafez of Shiraz.
-
D.
Ahmad Khan Mahmidzada
Ahmad Khan Mahmidzada is an Afghan actor best known for playing the young Hassan in the film adaptation of "The Kite Runner."
-
E.
Jalal Mansur Nuriddin
Jalal Mansur Nuriddin was an American poet, musician, and spoken-word pioneer often hailed as a forefather of rap for his politically charged, rhythmically innovative performances.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34be585848190b0b177b5516f53c1 |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b59631e2cc8190b1d125b82a81593e |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b5970db8b48190b952d0fa08234f09 |
completed | March 14, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59788ef308190a34c2f23f22a7e4d |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:04 p.m.