Triple

T8452752
Position Surface form Disambiguated ID Type / Status
Subject Sajid Javid E199840 entity
Predicate familyName P18 FINISHED
Object Javid
Javid is a surname most prominently associated with Sajid Javid, a British Conservative politician and former Chancellor of the Exchequer and Home Secretary.
E734947 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: [Sajid Javid, familyName, Javid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javid
Context triple: [Sajid Javid, familyName, Javid]
  • A. Jawad
    Jawad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
  • B. 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.
  • C. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • D. Jalal
    Jalal is the given name of Jalal Al-e-Ahmad, a prominent 20th-century Iranian writer, social critic, and intellectual.
  • E. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • 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: [Sajid Javid, familyName, Javid]
Generated description
Javid is a surname most prominently associated with Sajid Javid, a British Conservative politician and former Chancellor of the Exchequer and Home Secretary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Javid
Target entity description: Javid is a surname most prominently associated with Sajid Javid, a British Conservative politician and former Chancellor of the Exchequer and Home Secretary.
  • A. Jawad
    Jawad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
  • B. 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.
  • C. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • D. Jalal
    Jalal is the given name of Jalal Al-e-Ahmad, a prominent 20th-century Iranian writer, social critic, and intellectual.
  • E. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • 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_69ce1dda289c81908e0cc8e1a504caa1 completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce1eddb9988190a77ab59f2867ad5d completed April 2, 2026, 7:46 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fb9b03c819089976283e1c53ca5 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:09 p.m.