Triple

T8452751
Position Surface form Disambiguated ID Type / Status
Subject Sajid Javid E199840 entity
Predicate givenName P17 FINISHED
Object Sajid
Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
E737537 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: Sajid | Statement: [Sajid Javid, givenName, Sajid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sajid
Context triple: [Sajid Javid, givenName, Sajid]
  • A. Junaid Khan
    Junaid Khan is the son of Indian actor Aamir Khan and has begun pursuing a career in acting and filmmaking.
  • B. Azam Khan
    Azam Khan is an Indian politician and founding member of the Samajwadi Party, known for his long tenure as a legislator from Uttar Pradesh and his influential role in state politics.
  • C. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • D. Salim Malik
    Salim Malik is a central character in the film "Slumdog Millionaire," portrayed as the conflicted older brother of the protagonist Jamal whose choices drive much of the story’s drama and moral tension.
  • E. Akhtar
    Akhtar is a masculine given name commonly used in South Asian and Muslim communities, derived from Persian and meaning "star" or "good fortune."
  • 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: Sajid
Triple: [Sajid Javid, givenName, Sajid]
Generated description
Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sajid
Target entity description: Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
  • A. Junaid Khan
    Junaid Khan is the son of Indian actor Aamir Khan and has begun pursuing a career in acting and filmmaking.
  • B. Azam Khan
    Azam Khan is an Indian politician and founding member of the Samajwadi Party, known for his long tenure as a legislator from Uttar Pradesh and his influential role in state politics.
  • C. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • D. Salim Malik
    Salim Malik is a central character in the film "Slumdog Millionaire," portrayed as the conflicted older brother of the protagonist Jamal whose choices drive much of the story’s drama and moral tension.
  • E. Akhtar
    Akhtar is a masculine given name commonly used in South Asian and Muslim communities, derived from Persian and meaning "star" or "good fortune."
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe449decc8190bd62f077427f9634 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39c11a488190b7775002e419eee7 completed April 2, 2026, 9:41 a.m.
NEDg Description generation batch_69ce3e82e57c81909b95577bd54616ff completed April 2, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_69ce3ef732748190a4c0beabc1cbfad7 completed April 2, 2026, 10:03 a.m.
Created at: March 30, 2026, 6:09 p.m.