Triple

T21285579
Position Surface form Disambiguated ID Type / Status
Subject Shapour Bakhtiar E524649 entity
Predicate familyName P18 FINISHED
Object Bakhtiar
Bakhtiar is a Persian surname most notably associated with Shapour Bakhtiar, the last prime minister of Iran under the Pahlavi dynasty.
 E1476128 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: Bakhtiar | Statement: [Shapour Bakhtiar, familyName, Bakhtiar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bakhtiar
Context triple: [Shapour Bakhtiar, familyName, Bakhtiar]
  • A. Hibatullah
    Hibatullah is the given name of Hibatullah Akhundzada, the reclusive supreme leader of the Taliban in Afghanistan.
  • B. Khader Khan
    Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
  • C. Nasrullah
    Nasrullah was a highly influential Thoroughbred racehorse and sire whose bloodline has shaped modern flat and National Hunt racing.
  • D. Azizullah
    Azizullah is a male given name of Arabic origin, commonly used in Muslim communities and meaning "dear to God" or "beloved of Allah."
  • E. Ata-ullah
    Ata-ullah was the architect responsible for designing the Mughal-era mausoleum Bibi Ka Maqbara in Aurangabad, India.
  • 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: Bakhtiar
Triple: [Shapour Bakhtiar, familyName, Bakhtiar]
Generated description
Bakhtiar is a Persian surname most notably associated with Shapour Bakhtiar, the last prime minister of Iran under the Pahlavi dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bakhtiar
Target entity description: Bakhtiar is a Persian surname most notably associated with Shapour Bakhtiar, the last prime minister of Iran under the Pahlavi dynasty.
  • A. Hibatullah
    Hibatullah is the given name of Hibatullah Akhundzada, the reclusive supreme leader of the Taliban in Afghanistan.
  • B. Khader Khan
    Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
  • C. Nasrullah
    Nasrullah was a highly influential Thoroughbred racehorse and sire whose bloodline has shaped modern flat and National Hunt racing.
  • D. Azizullah
    Azizullah is a male given name of Arabic origin, commonly used in Muslim communities and meaning "dear to God" or "beloved of Allah."
  • E. Ata-ullah
    Ata-ullah was the architect responsible for designing the Mughal-era mausoleum Bibi Ka Maqbara in Aurangabad, India.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d658e08190ad2f267123d53ede completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099809b3d88190b78ddeae641a7abf completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998f27c6c81908a88a4a831445d57 completed May 17, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.