Triple
T10972237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Famke Janssen |
E259268
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Taken 2 |
E673180
|
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: Taken 2 | Statement: [Famke Janssen, notableWork, Taken 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taken 2 Context triple: [Famke Janssen, notableWork, Taken 2]
-
A.
Taken 2
chosen
Taken 2 is a 2012 action thriller film starring Liam Neeson as ex-CIA operative Bryan Mills, who must once again rescue his family from vengeful kidnappers.
-
B.
Taken 3
Taken 3 is a 2014 action thriller film and the third installment in the Taken franchise, again starring Liam Neeson as ex-CIA operative Bryan Mills.
-
C.
Taken (2008 film)
Taken (2008 film) is a fast-paced action thriller in which former CIA operative Bryan Mills relentlessly hunts down the criminals who kidnapped his daughter in Paris.
-
D.
Took
Took is the hobbit family name of Peregrin “Pippin” Took, one of the central characters in J.R.R. Tolkien’s The Lord of the Rings.
-
E.
The Taking
The Taking is a horror novel by Dean Koontz that follows a couple facing an apocalyptic, seemingly alien invasion that blurs the line between supernatural and science fiction terror.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719b5edc81908c1019f81e78bd2e |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7a0b3dc819084fbda3227caf5b5 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.