Triple
T20664304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naʼvi |
E507841
|
entity |
| Predicate | hasNotablePhrase |
P53846
|
FINISHED |
| Object |
Eywa ngahu
"Eywa ngahu" is a traditional Naʼvi blessing from the Avatar universe that conveys the wish "may Eywa be with you."
|
E1443803
|
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: Eywa ngahu | Statement: [Naʼvi, hasNotablePhrase, Eywa ngahu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eywa ngahu Context triple: [Naʼvi, hasNotablePhrase, Eywa ngahu]
-
A.
Yuwaalayaay
Yuwaalayaay is an Australian Aboriginal language variety closely related to Gamilaraay, traditionally spoken in parts of New South Wales.
-
B.
Yowlumne
Yowlumne is a Native American language variety traditionally spoken by the Yowlumne (Southern Valley Yokuts) people of California’s San Joaquin Valley.
-
C.
Maarenga’yam
Maarenga’yam is the self-designated name of the Serrano people, an Indigenous group native to what is now Southern California.
-
D.
Ahi Wela
"Ahi Wela" is a traditional Hawaiian love song that has been popularized through contemporary Hawaiian music recordings.
-
E.
Kwa Ngwaru
"Kwa Ngwaru" is a popular Bongo Flava song by Tanzanian artist Harmonize, known for its catchy melody and widespread acclaim in East Africa.
- 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: Eywa ngahu Triple: [Naʼvi, hasNotablePhrase, Eywa ngahu]
Generated description
"Eywa ngahu" is a traditional Naʼvi blessing from the Avatar universe that conveys the wish "may Eywa be with you."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eywa ngahu Target entity description: "Eywa ngahu" is a traditional Naʼvi blessing from the Avatar universe that conveys the wish "may Eywa be with you."
-
A.
Yuwaalayaay
Yuwaalayaay is an Australian Aboriginal language variety closely related to Gamilaraay, traditionally spoken in parts of New South Wales.
-
B.
Yowlumne
Yowlumne is a Native American language variety traditionally spoken by the Yowlumne (Southern Valley Yokuts) people of California’s San Joaquin Valley.
-
C.
Maarenga’yam
Maarenga’yam is the self-designated name of the Serrano people, an Indigenous group native to what is now Southern California.
-
D.
Ahi Wela
"Ahi Wela" is a traditional Hawaiian love song that has been popularized through contemporary Hawaiian music recordings.
-
E.
Kwa Ngwaru
"Kwa Ngwaru" is a popular Bongo Flava song by Tanzanian artist Harmonize, known for its catchy melody and widespread acclaim in East Africa.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f541bc8190ac7946b91647f2b0 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5d0da481909eebd69b8b314503 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175206c8190b119bb1a2d06462f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.