Triple

T26553966
Position Surface form Disambiguated ID Type / Status
Subject King Ananda Mahidol E671752 entity
Predicate alsoKnownAs P39 FINISHED
Object Phra Athamaramathibodin
Phra Athamaramathibodin is an honorific royal title of King Ananda Mahidol, the eighth monarch of Thailand’s Chakri dynasty who reigned as Rama VIII.
E1742718 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: Phra Athamaramathibodin | Statement: [King Ananda Mahidol, alsoKnownAs, Phra Athamaramathibodin]
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: Phra Athamaramathibodin
Triple: [King Ananda Mahidol, alsoKnownAs, Phra Athamaramathibodin]
Generated description
Phra Athamaramathibodin is an honorific royal title of King Ananda Mahidol, the eighth monarch of Thailand’s Chakri dynasty who reigned as Rama VIII.

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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6146436408190bec22ccca6458ca8 completed May 2, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1209274e948190bbcc49cd00f4f7f0 completed May 23, 2026, 8:08 p.m.
NEDg Description generation batch_6a120cb1f2b88190b8dd7e6c293edf9c completed May 23, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_6a120d07ff648190874fa08cfe694003 completed May 23, 2026, 8:24 p.m.
Created at: April 27, 2026, 1:49 a.m.