Triple
T19938969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Dark |
E479251
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Corinne Kingsbury |
—
|
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: Corinne Kingsbury | Statement: [In the Dark, creator, Corinne Kingsbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corinne Kingsbury Context triple: [In the Dark, creator, Corinne Kingsbury]
-
A.
Corinne Kingsbury
chosen
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
B.
Corinne Stockheath
Corinne Stockheath is a pseudonym used by British Conservative politician Grant Shapps.
-
C.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
-
D.
Kathryn Kennish
Kathryn Kennish is a central character on the television series "Switched at Birth," portrayed as a wealthy, outspoken mother whose life is upended when she discovers her daughter was switched at birth.
-
E.
Claire Keesey
Claire Keesey is a Boston bank manager who becomes romantically involved with a career criminal, unaware of his role in the heist that traumatized her, in the film "The Town."
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a19d77c819088bce99c94568d0d |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.