Triple

T5698873
Position Surface form Disambiguated ID Type / Status
Subject Zahhak E125608 entity
Predicate hasAlternativeName P39 FINISHED
Object Zohak
Zohak is a mythological tyrant king from Persian legend, often depicted as a demonic ruler with serpents growing from his shoulders.
 E539332 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: Zohak | Statement: [Zahhak, hasAlternativeName, Zohak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zohak
Context triple: [Zahhak, hasAlternativeName, Zohak]
  • A. Zal-e Zar
    Zal-e Zar is a legendary white-haired hero and prince in the Persian epic Shahnameh, renowned for his wisdom, bravery, and role as the father of the champion Rostam.
  • 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. Dinarzad
    Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
  • D. 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.
  • E. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • 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: Zohak
Triple: [Zahhak, hasAlternativeName, Zohak]
Generated description
Zohak is a mythological tyrant king from Persian legend, often depicted as a demonic ruler with serpents growing from his shoulders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zohak
Target entity description: Zohak is a mythological tyrant king from Persian legend, often depicted as a demonic ruler with serpents growing from his shoulders.
  • A. Zal-e Zar
    Zal-e Zar is a legendary white-haired hero and prince in the Persian epic Shahnameh, renowned for his wisdom, bravery, and role as the father of the champion Rostam.
  • 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. Dinarzad
    Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
  • D. 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.
  • E. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240ecef48190bdef10b38ecb2bd0 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5c89b88190a397c6b1dcb9c3e8 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05bb76a748190a3b1a289dbd92dee completed March 22, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69c05c498c4c8190bfa3ac17fba2b152 completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:45 p.m.