Triple

T1820018
Position Surface form Disambiguated ID Type / Status
Subject Umar ibn al-Khattab E40518 entity
Predicate knownAs P39 FINISHED
Object Al-Faruq
Al-Faruq is the honorific title of Umar ibn al-Khattab, the second caliph of Islam renowned for his justice, strength of character, and pivotal role in the early expansion and governance of the Muslim community.
 E204677 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: Al-Faruq | Statement: [Umar ibn al-Khattab, knownAs, Al-Faruq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al-Faruq
Context triple: [Umar ibn al-Khattab, knownAs, Al-Faruq]
  • A. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • B. Hashim
    Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
  • C. Munir
    Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
  • D. Fahd
    Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
  • E. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • 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: Al-Faruq
Triple: [Umar ibn al-Khattab, knownAs, Al-Faruq]
Generated description
Al-Faruq is the honorific title of Umar ibn al-Khattab, the second caliph of Islam renowned for his justice, strength of character, and pivotal role in the early expansion and governance of the Muslim community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al-Faruq
Target entity description: Al-Faruq is the honorific title of Umar ibn al-Khattab, the second caliph of Islam renowned for his justice, strength of character, and pivotal role in the early expansion and governance of the Muslim community.
  • A. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • B. Hashim
    Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
  • C. Munir
    Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
  • D. Fahd
    Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
  • E. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf629af48190a27fddc764e306a7 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07e9ebc819082566cc98025b4ae completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc1304a808190a999e71dfa39162a completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.