Triple
T3403826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Bass |
E71721
|
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: [Ronald Bass, notableWork, Entrapment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entrapment Context triple: [Ronald Bass, 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.
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.
Traps
"Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8e8ea848190b4ac167f1aba8ebd |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd69f388190981da6454dfd4fb1 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:14 p.m.