Triple
T19665343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infidels |
E472184
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | License to Kill |
—
|
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: License to Kill | Statement: [Infidels, hasTrack, License to Kill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: License to Kill Context triple: [Infidels, hasTrack, License to Kill]
-
A.
License to Kill
chosen
"License to Kill" is a 1989 James Bond film best known for its darker tone and for featuring the title song performed by soul singer Gladys Knight.
-
B.
Essential Killing
Essential Killing is a 2010 minimalist survival thriller film directed by Jerzy Skolimowski, following a fugitive prisoner on the run through a harsh winter landscape.
-
C.
Killer Force
Killer Force is a 1976 action-thriller film about a security chief investigating a suspected diamond heist at a South African mine.
-
D.
Shoot to Kill
Shoot to Kill is a 1988 American thriller film about an FBI agent and a mountain guide tracking a murderous criminal through the wilderness.
-
E.
The Assassination Run
The Assassination Run is a British television drama series from the early 1980s, best known for featuring actress Mary Tamm in a leading role.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416857c88190acb3adbf3e585fe5 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.