Triple

T9989473
Position Surface form Disambiguated ID Type / Status
Subject Javid Iqbal E196848 entity
Predicate givenName P17 FINISHED
Object Javid
Javid is a masculine given name of Persian and Urdu origin, commonly used in South Asia and the Middle East.
 E834341 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: Javid | Statement: [Javid Iqbal, givenName, Javid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Javid
Context triple: [Javid Iqbal, givenName, Javid]
  • A. Javid
    Javid is a surname most prominently associated with Sajid Javid, a British Conservative politician and former Chancellor of the Exchequer and Home Secretary.
  • B. Jawad
    Jawad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
  • C. Majid
    Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
  • D. Sajid
    Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
  • E. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • 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: Javid
Triple: [Javid Iqbal, givenName, Javid]
Generated description
Javid is a masculine given name of Persian and Urdu origin, commonly used in South Asia and the Middle East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Javid
Target entity description: Javid is a masculine given name of Persian and Urdu origin, commonly used in South Asia and the Middle East.
  • A. Javid
    Javid is a surname most prominently associated with Sajid Javid, a British Conservative politician and former Chancellor of the Exchequer and Home Secretary.
  • B. Jawad
    Jawad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
  • C. Majid
    Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
  • D. Sajid
    Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
  • E. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79f3df08190ab3094ad1cd5490f completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258190f408190949d50badb3ec6f9 completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d2599e85e88190aad263e8ba169275 completed April 5, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d25a0cb08481909003b5bdab5c834b completed April 5, 2026, 12:48 p.m.
Created at: March 30, 2026, 8:50 p.m.