Triple
T18081159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel Miles Quaritch |
E432691
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Neytiri |
—
|
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 | Statement: [Colonel Miles Quaritch, enemyOf, Neytiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neytiri Context triple: [Colonel Miles Quaritch, enemyOf, 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.
Q'orianka
Q'orianka is a Peruvian-American actress, singer, and activist best known for her breakthrough role as Pocahontas in the film "The New World."
-
E.
Siguiri
Siguiri is a town in northeastern Guinea known as a center of gold mining along the Niger River.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fa080081909e1a05e98185a026 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.