Triple
T21247716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adelle DeWitt |
E523657
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Topher Brink |
—
|
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: Topher Brink | Statement: [Adelle DeWitt, associatedWithCharacter, Topher Brink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topher Brink Context triple: [Adelle DeWitt, associatedWithCharacter, Topher Brink]
-
A.
Topher Brink
chosen
Topher Brink is a brilliant but morally conflicted programmer and neuroscientist in the TV series "Dollhouse," responsible for designing and overseeing the mind-wiping and imprinting technology used on the show's "dolls."
-
B.
Topher Dow
Topher Dow is a film producer best known for his work on the science fiction movie "I, Robot."
-
C.
Topher Abar
Topher Abar is the adopted son of Angela Abar and Cal Abar in the television series "Watchmen," known for his quiet resilience amid the show's traumatic events.
-
D.
Jarin Blaschke
Jarin Blaschke is an American cinematographer best known for his stark, atmospheric black-and-white work on films like "The Lighthouse."
-
E.
Kyle Moorman
Kyle Moorman is a music producer known for his work on the album "Hurts 2B Human."
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359b756c819085480ca4174c53c2 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:55 p.m.