Triple

T18135037
Position Surface form Disambiguated ID Type / Status
Subject Navid Negahban E434113 entity
Predicate playedCharacter P1507 FINISHED
Object Abu Nazir
Abu Nazir is a fictional high-ranking terrorist leader and primary antagonist in the television series "Homeland."
E1307491 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: Abu Nazir | Statement: [Navid Negahban, playedCharacter, Abu Nazir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abu Nazir
Context triple: [Navid Negahban, playedCharacter, Abu Nazir]
  • A. Abu Futaira
    Abu Futaira is a modern residential district in Kuwait known for its planned housing and location within the expanding suburbs of Kuwait City.
  • B. Abu Arish
    Abu Arish is a city in southwestern Saudi Arabia located in the Jazan Region near the Red Sea coast.
  • C. Abu Khaled
    Abu Khaled is an alias of Mohammed Deif, the elusive and long-time military commander of Hamas’s armed wing.
  • D. Abu Salih
    Abu Salih is an honorific title used for Mansur I, a historical Islamic ruler.
  • E. Abu Salah
    Abu Salah was a senior Islamic State leader known primarily for overseeing the group’s financial operations and funding networks.
  • 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: Abu Nazir
Triple: [Navid Negahban, playedCharacter, Abu Nazir]
Generated description
Abu Nazir is a fictional high-ranking terrorist leader and primary antagonist in the television series "Homeland."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abu Nazir
Target entity description: Abu Nazir is a fictional high-ranking terrorist leader and primary antagonist in the television series "Homeland."
  • A. Abu Futaira
    Abu Futaira is a modern residential district in Kuwait known for its planned housing and location within the expanding suburbs of Kuwait City.
  • B. Abu Arish
    Abu Arish is a city in southwestern Saudi Arabia located in the Jazan Region near the Red Sea coast.
  • C. Abu Khaled
    Abu Khaled is an alias of Mohammed Deif, the elusive and long-time military commander of Hamas’s armed wing.
  • D. Abu Salih
    Abu Salih is an honorific title used for Mansur I, a historical Islamic ruler.
  • E. Abu Salah
    Abu Salah was a senior Islamic State leader known primarily for overseeing the group’s financial operations and funding networks.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0677088190aaf584882b3d74a1 completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03854b5f0c8190b98070b06f67a766 completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a03861898948190b3ada048d9ea274c completed May 12, 2026, 7:57 p.m.
NED2 Entity disambiguation (via description) batch_6a0386b90e308190807af4d407840985 completed May 12, 2026, 7:59 p.m.
Created at: April 10, 2026, 10:29 a.m.