Triple

T1615870
Position Surface form Disambiguated ID Type / Status
Subject David E34716 entity
Predicate hasVariant P455 FINISHED
Object Daoud
Daoud is an Arabic given name equivalent to David, commonly used across the Middle East and North Africa.
 E145469 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: Daoud | Statement: [David, hasVariant, Daoud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daoud
Context triple: [David, hasVariant, Daoud]
  • A. Khader Khan
    Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
  • B. Mahmoud
    Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
  • C. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • D. Asad Allah
    Asad Allah is an honorific title meaning "Lion of God," famously borne by the early Islamic warrior and companion of the Prophet Muhammad, Hamza ibn Abd al-Muttalib.
  • E. Salih
    Salih is a prophet in Islamic tradition who was sent to the ancient tribe of Thamud and is notably associated with the miracle of the she-camel.
  • 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: Daoud
Triple: [David, hasVariant, Daoud]
Generated description
Daoud is an Arabic given name equivalent to David, commonly used across the Middle East and North Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daoud
Target entity description: Daoud is an Arabic given name equivalent to David, commonly used across the Middle East and North Africa.
  • A. Khader Khan
    Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
  • B. Mahmoud chosen
    Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
  • C. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • D. Asad Allah
    Asad Allah is an honorific title meaning "Lion of God," famously borne by the early Islamic warrior and companion of the Prophet Muhammad, Hamza ibn Abd al-Muttalib.
  • E. Salih
    Salih is a prophet in Islamic tradition who was sent to the ancient tribe of Thamud and is notably associated with the miracle of the she-camel.
  • F. None of above.

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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9099049e0819099763ecb09fb4f57 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1ac4b9c8190a7d0fa610a77f9c3 completed March 8, 2026, 7:44 p.m.
NEDg Description generation batch_69add2729498819082f6595c57f545a8 completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add32803a48190b8ff08c605790f22 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:28 p.m.