Triple

T27718436
Position Surface form Disambiguated ID Type / Status
Subject Nang Talung E698885 entity
Predicate relatedTo P37 FINISHED
Object Nang Yai
Nang Yai is a traditional Thai performing art that uses large, intricately carved shadow puppets to depict stories from classical literature, often accompanied by music and narration.
 E1786806 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: Nang Yai | Statement: [Nang Talung, relatedTo, Nang Yai]
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: Nang Yai
Triple: [Nang Talung, relatedTo, Nang Yai]
Generated description
Nang Yai is a traditional Thai performing art that uses large, intricately carved shadow puppets to depict stories from classical literature, often accompanied by music and narration.

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_69ef591012dc8190a6f1ec994f9f7ff7 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e4683d9c8190958bec8efb9eee93 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e4da65dc8190801cafed5fb95685 completed May 24, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5a642e4819095c21cfe6a85f12f completed May 24, 2026, 11:48 a.m.
Created at: April 27, 2026, 3:05 p.m.