Triple
T18100239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neytiri |
E433194
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Neytiri te Tskaha Mo'at'ite |
—
|
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: Neytiri te Tskaha Mo'at'ite | Statement: [Neytiri, fullName, Neytiri te Tskaha Mo'at'ite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neytiri te Tskaha Mo'at'ite Context triple: [Neytiri, fullName, Neytiri te Tskaha Mo'at'ite]
-
A.
Neytiri
chosen
Neytiri is a skilled Na'vi warrior and princess of the Omaticaya clan who becomes Jake Sully's guide and love interest in the film "Avatar."
-
B.
Tamaran
Tamaran is a fictional alien planet in the DC Comics universe, best known as the war-torn, sun-powered home of the superheroine Starfire and her people, the Tamaraneans.
-
C.
Tauhunu
Tauhunu is a principal village and administrative center located on the atoll of Manihiki in the Cook Islands.
-
D.
Nugaal
Nugaal is a region in northeastern Somalia known for its arid landscape and pastoralist communities.
-
E.
Tigana
Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb5e6208190b3c3cce3b95d66ad |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:27 a.m.