Triple
T20178314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goosebumps (TV series) |
E492656
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Debra Forte |
—
|
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: Debra Forte | Statement: [Goosebumps (TV series), executiveProducer, Debra Forte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Forte Context triple: [Goosebumps (TV series), executiveProducer, Debra Forte]
-
A.
Deborah Forte
chosen
Deborah Forte is an American film and television producer best known for developing and producing family and fantasy franchises such as Goosebumps and The Golden Compass.
-
B.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
C.
Debra Frisch
Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
-
D.
Debra Newell
Debra Newell is an interior designer whose real-life relationship with conman John Meehan inspired the true-crime podcast and TV series "Dirty John."
-
E.
Debra Christofferson
Debra Christofferson is an American actress best known for her role as the bearded lady Lila in the HBO television series "Carnivàle."
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.