Triple
T18704085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leverage team |
E457326
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Breanna Casey |
—
|
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: Breanna Casey | Statement: [Leverage team, hasMember, Breanna Casey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breanna Casey Context triple: [Leverage team, hasMember, Breanna Casey]
-
A.
Brianna Casey
chosen
Brianna Casey is a professional associated with the Leverage team, likely contributing specialized skills or expertise within that organization.
-
B.
Breanna Barnes
Breanna Barnes is the central protagonist of the work "One on One," around whom the main narrative and character development revolve.
-
C.
Brianna Brown
Brianna Brown is an American actress known for her work in television and film, including prominent roles in various drama and thriller series.
-
D.
Brooklyn Decker
Brooklyn Decker is an American model and actress known for her Sports Illustrated Swimsuit Issue appearances and roles in films and television comedies.
-
E.
Briana Evigan
Briana Evigan is an American actress and dancer best known for her breakout lead role in the dance film "Step Up 2: The Streets" and subsequent work in horror and thriller movies.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671597ac819093dbb53553130f1e |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:49 a.m.