Triple

T1352975
Position Surface form Disambiguated ID Type / Status
Subject Munir Sirhan E28923 entity
Predicate givenName P17 FINISHED
Object Munir
Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
E160356 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: Munir | Statement: [Munir Sirhan, givenName, Munir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munir
Context triple: [Munir Sirhan, givenName, Munir]
  • A. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • B. Karim Ahmad Khan
    Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
  • C. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • D. Fayyazuddin
    Fayyazuddin is a Pakistani theoretical physicist known for his contributions to particle physics and for being a prominent student and collaborator of Nobel laureate Abdus Salam.
  • E. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • 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: Munir
Triple: [Munir Sirhan, givenName, Munir]
Generated description
Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Munir
Target entity description: Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
  • A. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • B. Karim Ahmad Khan
    Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
  • C. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • D. Fayyazuddin
    Fayyazuddin is a Pakistani theoretical physicist known for his contributions to particle physics and for being a prominent student and collaborator of Nobel laureate Abdus Salam.
  • E. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26d0c4481908fddda89242a57b3 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1555048190b73c1616d1979b08 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdee073fc819098c906d91870b317 completed March 8, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ace0a7ddc08190a44be1707587351b completed March 8, 2026, 2:36 a.m.
Created at: March 1, 2026, 7:56 p.m.