Triple
T21378775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Bearse |
E527284
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Jesse |
—
|
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 | Statement: [Amanda Bearse, directed, Jesse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse Context triple: [Amanda Bearse, directed, Jesse]
-
A.
Jesse
Jesse is a prominent Urhobo clan and town in Delta State, Nigeria, known for its cultural heritage and role within the Urhobo ethnic group.
-
B.
Jesse
chosen
Jesse is a central, Christ-like drifter character in the surreal 1972 Western film "Greaser’s Palace," whose miraculous abilities and enigmatic presence drive the movie’s offbeat religious allegory.
-
C.
Jesse
Jesse is a person notably connected to Helena, recognized primarily through this significant relationship.
-
D.
Jesse
Jesse is a supporting character in The Last of Us Part II, known as a loyal and level-headed member of Ellie and Dina’s Jackson community.
-
E.
Jesse
Jesse is the nickname of Jesse Owens, the legendary American track and field athlete who won four gold medals at the 1936 Berlin Olympics.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cb138081909bcbf295483656cb |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:11 p.m.