Triple

T15004250
Position Surface form Disambiguated ID Type / Status
Subject Daniyal E377668 entity
Predicate hasScriptForm P5713 FINISHED
Object دانيال
دانيال هو اسم علم مذكر شائع في العالم العربي والإسلامي، ذو أصول دينية وتاريخية مرتبطة بالنبي دانيال.
 E1132048 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: دانيال | Statement: [Daniyal, hasScriptForm, دانيال]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: دانيال
Context triple: [Daniyal, hasScriptForm, دانيال]
  • A. Daniels
    Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • B. Ben Daniels
    Ben Daniels is an English actor known for his work in film, television, and theatre, including roles in projects such as the 2005 film adaptation of "Doom" and the series "The Exorcist" and "House of Cards."
  • C. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Jeffrey
    "Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
  • E. Dustin
    Dustin is a masculine given name commonly used in English-speaking countries.
  • 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: دانيال
Triple: [Daniyal, hasScriptForm, دانيال]
Generated description
دانيال هو اسم علم مذكر شائع في العالم العربي والإسلامي، ذو أصول دينية وتاريخية مرتبطة بالنبي دانيال.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: دانيال
Target entity description: دانيال هو اسم علم مذكر شائع في العالم العربي والإسلامي، ذو أصول دينية وتاريخية مرتبطة بالنبي دانيال.
  • A. Daniels
    Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • B. Ben Daniels
    Ben Daniels is an English actor known for his work in film, television, and theatre, including roles in projects such as the 2005 film adaptation of "Doom" and the series "The Exorcist" and "House of Cards."
  • C. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Jeffrey
    "Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
  • E. Dustin
    Dustin is a masculine given name commonly used in English-speaking countries.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a04eec8190b347bf3637aba0bc completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe98e182708190a013511c32d33315 completed May 9, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69fe9a48e85081909d70d8f44e3a54d7 completed May 9, 2026, 2:22 a.m.
Created at: April 10, 2026, 2:54 a.m.