Triple

T25889545
Position Surface form Disambiguated ID Type / Status
Subject Norodom Monineath E652289 entity
Predicate successorAsQueenConsort P7964 FINISHED
Object Norodom Suthida (Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law)
Norodom Suthida is the Queen Consort of Thailand, married to King Maha Vajiralongkorn (Rama X) and formerly a flight attendant and military officer before her elevation to the throne.
E1699557 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: Norodom Suthida (Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law)  | Statement: [Norodom Monineath, successorAsQueenConsort, Norodom Suthida (Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law) ]
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: Norodom Suthida (Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law) 
Triple: [Norodom Monineath, successorAsQueenConsort, Norodom Suthida (Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law Queen Norodom Monineath’s successor is Queen Norodom Monineath’s daughter-in-law) ]
Generated description
Norodom Suthida is the Queen Consort of Thailand, married to King Maha Vajiralongkorn (Rama X) and formerly a flight attendant and military officer before her elevation to the throne.

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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f603452e3c8190a027cd2a9910c344 completed May 2, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ecbcb7e48190b2eb377fce8e4e00 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10edac42ec8190ac894ee9bd658b22 completed May 22, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_6a10ee53bee48190bc7ab1f9a73c60da completed May 23, 2026, 12:01 a.m.
Created at: April 22, 2026, 8:19 a.m.