Triple
T7909758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avatar: The Way of Water |
E183666
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Neytiri |
E433194
|
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: Neytiri | Statement: [Avatar: The Way of Water, featuresCharacter, Neytiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neytiri Context triple: [Avatar: The Way of Water, featuresCharacter, Neytiri]
-
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.
Shyriiwook
Shyriiwook is the guttural, roaring language spoken by the Wookiee species in the Star Wars universe.
-
C.
Marella
Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
-
D.
Tali'Zorah
Tali'Zorah is a skilled quarian engineer and loyal squadmate in the Mass Effect series, known for her technical expertise, distinctive environmental suit, and strong character development across the trilogy.
-
E.
Thargelion
Thargelion was a spring month in the ancient Attic calendar, roughly corresponding to parts of May and June in the modern Gregorian calendar.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5db9508190bbe92673ef5a7861 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd54f548190916bf00852f37224 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:04 p.m.