Triple
T21282074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Rouse |
E524550
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Thief |
—
|
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: The Thief | Statement: [Russell Rouse, notableWork, The Thief]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Thief Context triple: [Russell Rouse, notableWork, The Thief]
-
A.
The Thief
chosen
The Thief is a 1952 American film noir notable for its nearly wordless storytelling and tense Cold War espionage plot.
-
B.
The Thief
The Thief is a notable work by George Alexander, likely a crime- or mystery-themed story centered on theft and moral ambiguity.
-
C.
Honest Thief
Honest Thief is a 2020 action-thriller film starring Liam Neeson as a reformed bank robber who becomes the target of corrupt FBI agents after trying to turn himself in.
-
D.
The Good Thief
The Good Thief is a 2002 crime drama film directed by Neil Jordan that follows an aging gambler and thief attempting one last elaborate heist on the French Riviera.
-
E.
Once a Thief
Once a Thief is a 1991 Hong Kong action-comedy film blending heist capers with stylized gunplay and humor.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d249fc8190b0b310467ddeac3c |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:02 p.m.