Triple
T22569651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongning Na |
E558044
|
entity |
| Predicate | languageFamily |
P1047
|
FINISHED |
| Object |
Naish
Naish is a small subgroup of Sino-Tibetan languages spoken in southwestern China, including varieties such as Yongning Na and Naxi.
|
E1542903
|
NE FINISHED |
How this triple was built (4 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: Naish | Statement: [Yongning Na, languageFamily, Naish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naish Context triple: [Yongning Na, languageFamily, Naish]
-
A.
Naish
Naish is a surname most notably associated with American character actor J. Carrol Naish, who appeared in numerous films and television shows in the mid-20th century.
-
B.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
C.
Ekoi
Ekoi are an ethnic group of southeastern Nigeria and western Cameroon known for their rich artistic traditions, especially elaborate masks and skin-covered sculptures.
-
D.
Nemschoff
Nemschoff is a furniture manufacturer best known for its durable, design-focused healthcare and institutional seating and casegoods.
-
E.
Hobie
Hobie is a supporting character in Beverly Cleary’s Ramona series, appearing in the film "Ramona and Beezus" as a friendly, easygoing neighbor and love interest for Aunt Bea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Naish Triple: [Yongning Na, languageFamily, Naish]
Generated description
Naish is a small subgroup of Sino-Tibetan languages spoken in southwestern China, including varieties such as Yongning Na and Naxi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naish Target entity description: Naish is a small subgroup of Sino-Tibetan languages spoken in southwestern China, including varieties such as Yongning Na and Naxi.
-
A.
Naish
Naish is a surname most notably associated with American character actor J. Carrol Naish, who appeared in numerous films and television shows in the mid-20th century.
-
B.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
C.
Ekoi
Ekoi are an ethnic group of southeastern Nigeria and western Cameroon known for their rich artistic traditions, especially elaborate masks and skin-covered sculptures.
-
D.
Nemschoff
Nemschoff is a furniture manufacturer best known for its durable, design-focused healthcare and institutional seating and casegoods.
-
E.
Hobie
Hobie is a supporting character in Beverly Cleary’s Ramona series, appearing in the film "Ramona and Beezus" as a friendly, easygoing neighbor and love interest for Aunt Bea.
- F. None of above. chosen
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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fac7db08190ba4660535571498d |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d75f8fc8190af7282848379184d |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b364801cc81908204a937c1099728 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37998f888190bb53c2429760321a |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.