Triple

T7506757
Position Surface form Disambiguated ID Type / Status
Subject Ali Zayn al-Abidin E177408 entity
Predicate mother P120 FINISHED
Object Shahrbanu
Shahrbanu is a revered figure in Shia Islamic tradition, believed to be a Persian noblewoman and the mother of the fourth Shia Imam, Ali Zayn al-Abidin.
E668907 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: Shahrbanu | Statement: [Ali Zayn al-Abidin, mother, Shahrbanu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahrbanu
Context triple: [Ali Zayn al-Abidin, mother, Shahrbanu]
  • A. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • B. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • C. Roya
    Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
  • D. Zubeidaa
    Zubeidaa is a 2001 Indian biographical drama film directed by Shyam Benegal, known for its portrayal of a free-spirited actress who becomes entangled in royal politics and personal tragedy.
  • E. Arsena of Marabda
    Arsena of Marabda is a novel by Georgian writer Mikheil Javakhishvili that portrays the life and rebellion of a 19th-century Georgian outlaw and folk hero.
  • 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: Shahrbanu
Triple: [Ali Zayn al-Abidin, mother, Shahrbanu]
Generated description
Shahrbanu is a revered figure in Shia Islamic tradition, believed to be a Persian noblewoman and the mother of the fourth Shia Imam, Ali Zayn al-Abidin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shahrbanu
Target entity description: Shahrbanu is a revered figure in Shia Islamic tradition, believed to be a Persian noblewoman and the mother of the fourth Shia Imam, Ali Zayn al-Abidin.
  • A. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • B. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • C. Roya
    Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
  • D. Zubeidaa
    Zubeidaa is a 2001 Indian biographical drama film directed by Shyam Benegal, known for its portrayal of a free-spirited actress who becomes entangled in royal politics and personal tragedy.
  • E. Arsena of Marabda
    Arsena of Marabda is a novel by Georgian writer Mikheil Javakhishvili that portrays the life and rebellion of a 19th-century Georgian outlaw and folk hero.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b76a288190bb3608a5e3bfa212 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83ca243288190bb253f4d91701407 completed March 28, 2026, 8:40 p.m.
NEDg Description generation batch_69c83d5884a88190a22c0fb54f9731c7 completed March 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69c84071abb88190a2dadd57ff088f3d completed March 28, 2026, 8:56 p.m.
Created at: March 27, 2026, 3:45 p.m.