Triple
T16065755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rush Hour 2 |
E389726
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Inspector Lee |
E522716
|
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: Inspector Lee | Statement: [Rush Hour 2, character, Inspector Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inspector Lee Context triple: [Rush Hour 2, character, Inspector Lee]
-
A.
Inspector Lee
Inspector Lee is a fictional alter-ego of author William S. Burroughs who appears as a hardboiled, hallucinatory detective figure in his experimental novel "The Soft Machine."
-
B.
Inspector Lee
chosen
Inspector Lee is a highly skilled and stoic Hong Kong police detective portrayed by Jackie Chan in the action-comedy Rush Hour film series.
-
C.
Detective Nathan Leckie
Detective Nathan Leckie is a fictional police detective and key law-enforcement figure in the Australian crime drama film "Animal Kingdom."
-
D.
Inspector Daniel Clay
Inspector Daniel Clay is a fictional police inspector character from the cult 1959 science fiction horror film "Plan 9 from Outer Space."
-
E.
Inspector Tanner
Inspector Tanner is a fictional investigator character appearing in the work "Year of the Rabbit."
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837bec688190a77ad347600b6bdc |
completed | April 17, 2026, 12:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ef6648190bf1fe216e78ef660 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.