Triple
T6160571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ving Rhames |
E137429
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Entrapment |
E329478
|
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: Entrapment | Statement: [Ving Rhames, notableWork, Entrapment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entrapment Context triple: [Ving Rhames, notableWork, Entrapment]
-
A.
Entrapment
chosen
Entrapment is a 1999 heist thriller film starring Sean Connery and Catherine Zeta-Jones, centered on an elaborate art theft scheme.
-
B.
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.
-
C.
Detention
Detention is a 2011 genre-blending horror-comedy film that mixes slasher, teen, and time-travel elements in a hyper-stylized high school setting.
-
D.
Abduction
Abduction is a 2011 action thriller film starring Taylor Lautner as a teenager who discovers his life is a lie after finding his baby photo on a missing persons website.
-
E.
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.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d35b2f88190abb9b90b5971e6d7 |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14194d31081908e61a867f11117b4 |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.