Triple

T35720866
Position Surface form Disambiguated ID Type / Status
Subject Zardari family E1032466 entity
Predicate hasMember P10 FINISHED
Object Hakim Ali Zardari
Hakim Ali Zardari was a Pakistani businessman and politician best known as the father of former President Asif Ali Zardari and a prominent figure in Sindh’s political and landowning elite.
E2163322 NE FINISHED

How this triple was built (2 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: Hakim Ali Zardari | Statement: [Zardari family, hasMember, Hakim Ali Zardari]
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: Hakim Ali Zardari
Triple: [Zardari family, hasMember, Hakim Ali Zardari]
Generated description
Hakim Ali Zardari was a Pakistani businessman and politician best known as the father of former President Asif Ali Zardari and a prominent figure in Sindh’s political and landowning elite.

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_69f76e102b5881909e5d63a30a5cecbe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a0fd6f68819098fb9a30364b71b0 completed May 3, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b6e3da6881909b46a21c3c54c1da completed June 22, 2026, 4:15 a.m.
NEDg Description generation batch_6a38b85bf4908190aecf55c46230322b completed June 22, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a38b8dae4ac8190a020a5e984acef6b completed June 22, 2026, 4:23 a.m.
Created at: May 3, 2026, 4:05 p.m.