Triple
T22890955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fades |
E568037
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Paul Roberts |
—
|
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: Paul Roberts | Statement: [The Fades, hasCharacter, Paul Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Roberts Context triple: [The Fades, hasCharacter, Paul Roberts]
-
A.
Paul Roberts
Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
-
B.
Paul Roberts
chosen
Paul Roberts is the teenage protagonist of the British supernatural drama series "The Fades," who begins experiencing apocalyptic visions and develops mysterious powers linked to the dead.
-
C.
Jonathan Roberts
Jonathan Roberts is a professional ballroom dancer best known for his appearances as a pro on the television show "Dancing with the Stars."
-
D.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
E.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc59e108190a22f90c2439830fb |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.