Triple

T19880991
Position Surface form Disambiguated ID Type / Status
Subject Ayub Khuhro E477769 entity
Predicate givenName P17 FINISHED
Object Ayub
Ayub is a masculine given name commonly used in Muslim communities, derived from the Arabic form of the biblical name Job.
 E1361725 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: Ayub | Statement: [Ayub Khuhro, givenName, Ayub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ayub
Context triple: [Ayub Khuhro, givenName, Ayub]
  • A. Ayub
    Ayub is a subclan within the Isaaq clan-family, one of the major Somali clan confederations.
  • B. Ayub Pul
    Ayub Pul is a prominent bridge in Pakistan, locally known by this name, that spans the Indus River and serves as a key transportation link in the region.
  • C. Uwais Khan
    Uwais Khan was a 15th-century Moghul khan of Moghulistan and an important Central Asian ruler known as an ancestor of Babur, the founder of the Mughal Empire in India.
  • D. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • E. Farooq
    Farooq is a common male given name of Arabic origin, widely used in Muslim communities across South Asia and the Middle East.
  • 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: Ayub
Triple: [Ayub Khuhro, givenName, Ayub]
Generated description
Ayub is a masculine given name commonly used in Muslim communities, derived from the Arabic form of the biblical name Job.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ayub
Target entity description: Ayub is a masculine given name commonly used in Muslim communities, derived from the Arabic form of the biblical name Job.
  • A. Ayub chosen
    Ayub is a subclan within the Isaaq clan-family, one of the major Somali clan confederations.
  • B. Ayub Pul
    Ayub Pul is a prominent bridge in Pakistan, locally known by this name, that spans the Indus River and serves as a key transportation link in the region.
  • C. Uwais Khan
    Uwais Khan was a 15th-century Moghul khan of Moghulistan and an important Central Asian ruler known as an ancestor of Babur, the founder of the Mughal Empire in India.
  • D. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • E. Farooq
    Farooq is a common male given name of Arabic origin, widely used in Muslim communities across South Asia and the Middle East.
  • F. None of above.

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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658de4b288190a41bee67f570be1e completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbca90b08190a2f1d7434ce10758 completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc950cd8819084a9184a20a15b85 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd016aa88190890d6272e51c30e2 completed May 16, 2026, 2:57 a.m.
Created at: April 10, 2026, 1:52 p.m.