Triple

T2707956
Position Surface form Disambiguated ID Type / Status
Subject Kamal Jumblatt E59387 entity
Predicate givenName P17 FINISHED
Object Kamal
Kamal is a given name shared by various notable individuals across politics, arts, and other fields in the Arabic-speaking world and beyond.
E290903 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: Kamal | Statement: [Kamal Jumblatt, givenName, Kamal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamal
Context triple: [Kamal Jumblatt, givenName, Kamal]
  • A. Kamal
    Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
  • B. Kamal
    Kamal is a central figure in Naguib Mahfouz's novel "Palace of Desire," portrayed as a complex, introspective young man grappling with desire, morality, and modernity in early 20th-century Cairo.
  • C. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • D. Aziz
    Aziz is a common Arabic male given name meaning "powerful," "respected," or "dear."
  • E. Nassar
    Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
  • 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: Kamal
Triple: [Kamal Jumblatt, givenName, Kamal]
Generated description
Kamal is a given name shared by various notable individuals across politics, arts, and other fields in the Arabic-speaking world and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kamal
Target entity description: Kamal is a given name shared by various notable individuals across politics, arts, and other fields in the Arabic-speaking world and beyond.
  • A. Kamal
    Kamal is a central figure in Naguib Mahfouz's novel "Palace of Desire," portrayed as a complex, introspective young man grappling with desire, morality, and modernity in early 20th-century Cairo.
  • B. Kamal
    Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
  • C. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • D. Aziz
    Aziz is a common Arabic male given name meaning "powerful," "respected," or "dear."
  • E. Nassar
    Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda73de1c81908f5d6b0383e23144 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7f99508190acfd00baec64b7e9 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb02d8ff08190af2224c03b762c68 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.