Triple

T31150027
Position Surface form Disambiguated ID Type / Status
Subject House of Bendahara-Johor E794046 entity
Predicate hasAncestralTitle P62628 FINISHED
Object Bendahara of Johor
The Bendahara of Johor was a powerful hereditary chief minister and later ruling title in the Johor Sultanate, central to the region’s political authority and succession.
E1950518 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: Bendahara of Johor | Statement: [House of Bendahara-Johor, hasAncestralTitle, Bendahara 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: Bendahara of Johor
Triple: [House of Bendahara-Johor, hasAncestralTitle, Bendahara of Johor]
Generated description
The Bendahara of Johor was a powerful hereditary chief minister and later ruling title in the Johor Sultanate, central to the region’s political authority and succession.

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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f697eeb64881908cbc442cace01633 completed May 3, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a294722d36c81909e1fd00d4379b8dc completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a294edd87888190a40f71d4d7f57b18 completed June 10, 2026, 11:47 a.m.
NED2 Entity disambiguation (via description) batch_6a2950ac30e88190a3f55d5a68f317d8 completed June 10, 2026, 11:55 a.m.
Created at: April 29, 2026, 9:06 p.m.