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.