Triple
T20391474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-X |
E498094
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Kristanna Loken |
—
|
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: Kristanna Loken | Statement: [T-X, portrayedBy, Kristanna Loken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristanna Loken Context triple: [T-X, portrayedBy, Kristanna Loken]
-
A.
Kristanna Loken
chosen
Kristanna Loken is an American actress and model best known for her role as the T-X in the film "Terminator 3: Rise of the Machines."
-
B.
Cirsten Carle
Cirsten Carle is one of the children of renowned children's book author and illustrator Eric Carle.
-
C.
Kassie Larson
Kassie Larson is a central character in the romantic comedy film "The Switch," whose unexpected pregnancy via artificial insemination sets off the movie’s main emotional and comedic events.
-
D.
Jessica Lundy
Jessica Lundy is an American actress known for her work in film and television comedies, particularly in the late 1980s and 1990s.
-
E.
Kristi Rey
Kristi Rey is a central character in the Paranormal Activity horror film series, depicted as a suburban mother whose family becomes the target of escalating supernatural disturbances.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.