Triple

T26620014
Position Surface form Disambiguated ID Type / Status
Subject Tamangic languages E668166 entity
Predicate studiedBy P1945 FINISHED
Object David E. Watters
David E. Watters was an American linguist known for his extensive descriptive and comparative work on Tibeto-Burman languages, particularly those of the Tamangic subgroup of Nepal.
E1926975 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: David E. Watters | Statement: [Tamangic languages, studiedBy, David E. Watters]
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: David E. Watters
Triple: [Tamangic languages, studiedBy, David E. Watters]
Generated description
David E. Watters was an American linguist known for his extensive descriptive and comparative work on Tibeto-Burman languages, particularly those of the Tamangic subgroup of Nepal.

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_69ee9cfe16088190a3dddd68e3c7b1ea completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615b0350481908c119c74dc0a4998 completed May 2, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2870be0b8c8190b3c16d534c995558 completed June 9, 2026, 7:59 p.m.
NEDg Description generation batch_6a2878ea68388190a662e27e45537c93 completed June 9, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_6a28793daecc819097218352545caad0 completed June 9, 2026, 8:36 p.m.
Created at: April 27, 2026, 2:20 a.m.