Triple

T4702074
Position Surface form Disambiguated ID Type / Status
Subject Abdus E104296 entity
Predicate hasNotableBearer P458 FINISHED
Object Abdus Sattar (various individuals)
Abdus Sattar is a common Muslim male given name shared by various notable individuals across different countries and professions.
E462806 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: Abdus Sattar (various individuals) | Statement: [Abdus, hasNotableBearer, Abdus Sattar (various individuals)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdus Sattar (various individuals)
Context triple: [Abdus, hasNotableBearer, Abdus Sattar (various individuals)]
  • A. Md. Saadulla
    Md. Saadulla was an Indian political leader and lawyer who served as a member of the Constituent Assembly involved in framing the Constitution of India.
  • B. Abdul Ali
    Abdul Ali is a kind-hearted Pakistani migrant worker and key supporting character in the South Korean series "Squid Game."
  • C. Abdul Latif
    Abdul Latif is the given name of Shah Abdul Latif Bhittai, the revered 18th-century Sindhi Sufi poet and saint.
  • D. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • E. Jasimuddin
    Jasimuddin was a renowned Bengali poet and folklorist celebrated for his vivid depictions of rural Bengal and its people.
  • 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: Abdus Sattar (various individuals)
Triple: [Abdus, hasNotableBearer, Abdus Sattar (various individuals)]
Generated description
Abdus Sattar is a common Muslim male given name shared by various notable individuals across different countries and professions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abdus Sattar (various individuals)
Target entity description: Abdus Sattar is a common Muslim male given name shared by various notable individuals across different countries and professions.
  • A. Md. Saadulla
    Md. Saadulla was an Indian political leader and lawyer who served as a member of the Constituent Assembly involved in framing the Constitution of India.
  • B. Abdul Ali
    Abdul Ali is a kind-hearted Pakistani migrant worker and key supporting character in the South Korean series "Squid Game."
  • C. Abdul Latif
    Abdul Latif is the given name of Shah Abdul Latif Bhittai, the revered 18th-century Sindhi Sufi poet and saint.
  • D. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • E. Jasimuddin
    Jasimuddin was a renowned Bengali poet and folklorist celebrated for his vivid depictions of rural Bengal and its people.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.