Triple
T18710189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Townsend |
E457484
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Trapped |
—
|
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: Trapped | Statement: [Stuart Townsend, appearedIn, Trapped]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trapped Context triple: [Stuart Townsend, appearedIn, Trapped]
-
A.
Trapped
Trapped is a 2002 American thriller film produced by Mandalay Pictures, centered on a family's harrowing kidnapping ordeal and their desperate attempts to outwit their captors.
-
B.
Trapped
"Trapped" is a socially conscious hip-hop track by 2Pac that addresses police brutality, systemic racism, and the struggles of inner-city life.
-
C.
Trapped
chosen
Trapped is a Hindi survival thriller film starring Rajkummar Rao as a man accidentally locked in a high-rise apartment without food, water, or electricity.
-
D.
The Trap
"The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
-
E.
The Trap
The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.