Triple

T8026324
Position Surface form Disambiguated ID Type / Status
Subject Burhanuddin Rabbani E186863 entity
Predicate familyName P18 FINISHED
Object Rabbani
Rabbani is a surname most prominently associated with Burhanuddin Rabbani, a key Afghan political and religious leader who served as President of Afghanistan during the 1990s.
 E706150 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: Rabbani | Statement: [Burhanuddin Rabbani, familyName, Rabbani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rabbani
Context triple: [Burhanuddin Rabbani, familyName, Rabbani]
  • A. Talani Rabb
    Talani Rabb is an American fashion model best known for her work in the 1990s and 2000s and for being married to rapper and producer RZA of the Wu-Tang Clan.
  • B. Rabil
    Rabil is a small town on the island of Boa Vista in Cape Verde, known for its proximity to beaches, dunes, and the island’s airport.
  • C. Elimah Rabbati
    Elimah Rabbati is a major Kabbalistic work by the 16th-century mystic Moshe Cordovero, offering a systematic and influential exposition of Jewish mystical theology.
  • D. Rashid
    Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
  • E. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • 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: Rabbani
Triple: [Burhanuddin Rabbani, familyName, Rabbani]
Generated description
Rabbani is a surname most prominently associated with Burhanuddin Rabbani, a key Afghan political and religious leader who served as President of Afghanistan during the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rabbani
Target entity description: Rabbani is a surname most prominently associated with Burhanuddin Rabbani, a key Afghan political and religious leader who served as President of Afghanistan during the 1990s.
  • A. Talani Rabb
    Talani Rabb is an American fashion model best known for her work in the 1990s and 2000s and for being married to rapper and producer RZA of the Wu-Tang Clan.
  • B. Rabil
    Rabil is a small town on the island of Boa Vista in Cape Verde, known for its proximity to beaches, dunes, and the island’s airport.
  • C. Elimah Rabbati
    Elimah Rabbati is a major Kabbalistic work by the 16th-century mystic Moshe Cordovero, offering a systematic and influential exposition of Jewish mystical theology.
  • D. Rashid
    Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
  • E. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecb00648190bb3144acf3492bb3 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56da597c8190931091482d60b0a6 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58aac4288190a2be4691fc740171 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbf8278819085ff32a0494d544e completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:21 p.m.