Triple
T22750874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Sellon |
E562691
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Circus Clown |
—
|
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: The Circus Clown | Statement: [Charles Sellon, notableWork, The Circus Clown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Circus Clown Context triple: [Charles Sellon, notableWork, The Circus Clown]
-
A.
The Circus Clown
chosen
The Circus Clown is a 1934 American drama film directed by George Melford that follows the struggles and triumphs of a performer in the world of circus entertainment.
-
B.
The Dancing Clown
The Dancing Clown is the terrifying, clown-shaped guise of Pennywise, the ancient evil entity that preys on children in Stephen King’s horror novel "It."
-
C.
The Clown
The Clown is a 1963 novel by German author Heinrich Böll that follows a disillusioned clown in postwar Germany as he confronts personal failure, religious hypocrisy, and societal guilt.
-
D.
The Clown
The Clown is a mysterious and influential figure known as an alias of the character The Mule.
-
E.
The Clown
The Clown is a film featuring Jane Greer, best known for her classic femme fatale roles in mid-20th-century American cinema.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b9ac348190bff4dc470931f7e3 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.