Triple

T8306961
Position Surface form Disambiguated ID Type / Status
Subject Mahmoud Zahar E194486 entity
Predicate familyName P18 FINISHED
Object Zahar
Zahar is the surname of Mahmoud Zahar, a prominent Palestinian co-founder and senior leader of the Hamas movement in Gaza.
 E724793 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: Zahar | Statement: [Mahmoud Zahar, familyName, Zahar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zahar
Context triple: [Mahmoud Zahar, familyName, Zahar]
  • A. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • B. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • C. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • D. Zohak
    Zohak is a mythological tyrant king from Persian legend, often depicted as a demonic ruler with serpents growing from his shoulders.
  • E. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • 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: Zahar
Triple: [Mahmoud Zahar, familyName, Zahar]
Generated description
Zahar is the surname of Mahmoud Zahar, a prominent Palestinian co-founder and senior leader of the Hamas movement in Gaza.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zahar
Target entity description: Zahar is the surname of Mahmoud Zahar, a prominent Palestinian co-founder and senior leader of the Hamas movement in Gaza.
  • A. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • B. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • C. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • D. Zohak
    Zohak is a mythological tyrant king from Persian legend, often depicted as a demonic ruler with serpents growing from his shoulders.
  • E. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2a86bc81909749c40c640aa9f8 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cda342c10881908ebafc7853815424 completed April 1, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cdab736f208190a90bd4344b21a22c completed April 1, 2026, 11:34 p.m.
Created at: March 30, 2026, 5:54 p.m.