Triple
T23420981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clerks III |
E560648
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Elias Grover |
—
|
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: Elias Grover | Statement: [Clerks III, starredActor, Elias Grover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elias Grover Context triple: [Clerks III, starredActor, Elias Grover]
-
A.
Elias Grover
chosen
Elias Grover is a devoutly religious, socially awkward fast-food worker who serves as a comedic foil to the main characters in Kevin Smith’s View Askewniverse films, particularly "Clerks II."
-
B.
Elias Holl
Elias Holl was a prominent early 17th-century German architect of the Renaissance and early Baroque periods, renowned for shaping the cityscape of Augsburg with monumental civic buildings.
-
C.
Elias Glenn
Elias Glenn was an American jurist who served as a U.S. federal judge in Maryland in the early 19th century.
-
D.
Christopher Gorham
Christopher Gorham is an American actor best known for his roles in television series such as Covert Affairs, Ugly Betty, and Popular.
-
E.
Silas Newcomb
Silas Newcomb was an American Revolutionary War officer who served as a prominent commander from New Jersey in the Continental Army.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54605dc81909aad9834ef6ff8a1 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:45 p.m.