Triple
T10470535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Another Day |
E246910
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Zao |
E418765
|
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: Zao | Statement: [Die Another Day, character, Zao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zao Context triple: [Die Another Day, character, Zao]
-
A.
Zao
chosen
Zao is a henchman and primary antagonist in the James Bond film "Die Another Day," known for his diamond-studded face and ruthless loyalty to the main villain.
-
B.
Zao Shen
Zao Shen is a household deity in Chinese folk religion and Taoism who oversees the family kitchen and reports on the household’s conduct to higher gods.
-
C.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
D.
Kaos
Kaos is the primary villain in the Skylanders video game series, a power-hungry Portal Master who repeatedly schemes to conquer Skylands.
-
E.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0094910819094d492c87b31898e |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.