Triple

T31069807
Position Surface form Disambiguated ID Type / Status
Subject House of Abu Bakar E791785 entity
Predicate hasNotableMember P304 FINISHED
Object Sultan Ismail of Johor
Sultan Ismail of Johor was a 20th-century Sultan of the Malaysian state of Johor, known for his role in modernizing the state and continuing the legacy of the House of Abu Bakar.
E2193508 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: Sultan Ismail of Johor | Statement: [House of Abu Bakar, hasNotableMember, Sultan Ismail of Johor]
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: Sultan Ismail of Johor
Triple: [House of Abu Bakar, hasNotableMember, Sultan Ismail of Johor]
Generated description
Sultan Ismail of Johor was a 20th-century Sultan of the Malaysian state of Johor, known for his role in modernizing the state and continuing the legacy of the House of Abu Bakar.

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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f695b48c848190aa125c462ed5f211 completed May 3, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20a5f92c8190a88be02dca401b78 completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a223909648190859223424fc876ef completed June 23, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a3a22aa6b788190bed3fe999f1534ee completed June 23, 2026, 6:07 a.m.
Created at: April 29, 2026, 9:01 p.m.