Triple
T14732528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria |
E346112
|
entity |
| Predicate | commands |
P2333
|
FINISHED |
| Object | Riley Biers |
E348057
|
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: Riley Biers | Statement: [Victoria, commands, Riley Biers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riley Biers Context triple: [Victoria, commands, Riley Biers]
-
A.
Riley Biers
chosen
Riley Biers is a young vampire who leads Victoria’s newborn army and serves as a key antagonist in the film *The Twilight Saga: Eclipse*.
-
B.
Riley Andersen
Riley Andersen is the young girl whose emotions are personified to explore her inner life in Pixar's animated film "Inside Out."
-
C.
Riley Johnson
Riley Johnson is a central character in the romantic comedy film "Happiest Season," serving as a key figure in the protagonist's past and emotional journey.
-
D.
Riley Shanahan
Riley Shanahan is an American actor and performer best known for physically portraying Robotman in the television series "Doom Patrol."
-
E.
Riley Jones
Riley Jones is the central protagonist of the story "Detention," around whom the plot’s conflicts and character dynamics revolve.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec72ea9348190817efcdaa973d7f7 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dba87c481908084c3cba5df3fcd |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:29 a.m.