Triple
T23506399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James A. Matisoff |
E572291
|
entity |
| Predicate | researchInterest |
P3
|
FINISHED |
| Object | Lahu language |
—
|
NE NERFINISHED |
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: Lahu language | Statement: [James A. Matisoff, researchInterest, Lahu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lahu language Context triple: [James A. Matisoff, researchInterest, Lahu language]
-
A.
Lahu language
chosen
The Lahu language is a Tibeto-Burman language spoken primarily by the Lahu people in the border regions of China, Myanmar, Thailand, and Laos.
-
B.
Laha language
The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
-
C.
Pa’O language
The Pa’O language is a Tibeto-Burman language spoken primarily by the Pa’O (Taungthu) people of Myanmar, especially in Shan and Kayin States.
-
D.
A-Hmao language
The A-Hmao language is a Hmong-Mien language spoken primarily by the A-Hmao subgroup of the Miao people in southwestern China.
-
E.
Amungme language
Amungme language is a Papuan language spoken by the indigenous Amungme people of the Central Highlands region of Papua, Indonesia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a9009ca081908c4cffb8c32293ec |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.