Triple
T8464835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensi Blye |
E200133
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Daniela Ruah |
E207172
|
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: Daniela Ruah | Statement: [Kensi Blye, portrayedBy, Daniela Ruah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniela Ruah Context triple: [Kensi Blye, portrayedBy, Daniela Ruah]
-
A.
Daniela Ruah
chosen
Daniela Ruah is a Portuguese-American actress best known for playing Special Agent Kensi Blye on the television series "NCIS: Los Angeles."
-
B.
Maya Van Dien
Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
C.
Nina Sharp
Nina Sharp is a high-ranking executive at Massive Dynamic and a key figure in the science-fiction TV series "Fringe," known for her complex moral ambiguity and deep involvement in the show's fringe science conspiracies.
-
D.
Karen Rodriguez
Karen Rodriguez is an actress known for her role in the television series "Swarm."
-
E.
Aimee Garcia
Aimee Garcia is an American actress best known for her television roles on shows like "Dexter" and "Lucifer," as well as her work in film and voice acting.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb52978481909c60e43abd496746 |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:11 p.m.