Triple
T23439318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heights |
E565351
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jesse Bradford |
—
|
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: Jesse Bradford | Statement: [Heights, starring, Jesse Bradford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse Bradford Context triple: [Heights, starring, Jesse Bradford]
-
A.
Jesse Bradford
chosen
Jesse Bradford is an American actor known for his roles in films such as "Bring It On," "Swimfan," and "Romeo + Juliet," as well as various television series.
-
B.
Jesse Fitzgerald
Jesse Fitzgerald is a troubled, rebellious teenage boy in Jodi Picoult’s novel "My Sister’s Keeper," struggling with feelings of neglect and guilt within his family.
-
C.
Jesse Reid
Jesse Reid is an actor known for his role in the superhero film "Kingdom Come."
-
D.
Jesse Ferguson
Jesse Ferguson is an American former professional heavyweight boxer known for competing against several top contenders during the 1980s and 1990s.
-
E.
Jesse Barfield
Jesse Barfield is a former Major League Baseball right fielder best known for his powerful hitting and exceptional throwing arm, primarily with the Toronto Blue Jays in the 1980s.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5de713c8190b35bfa66dddbd5af |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.