Triple
T17616250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosemary DeCamp |
E429089
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Parrish |
—
|
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: Parrish | Statement: [Rosemary DeCamp, notableWork, Parrish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parrish Context triple: [Rosemary DeCamp, notableWork, Parrish]
-
A.
Parrish
Parrish is the surname of Kehlani, an American R&B singer, songwriter, and dancer known for her emotionally candid music.
-
B.
Parrish
chosen
Parrish is a 1961 American drama film, based on a novel by Mildred Savage, about a young man navigating love and ambition on Connecticut tobacco farms.
-
C.
Parrtown
Parrtown was the original name of the Loyalist settlement that later became the city of Saint John in New Brunswick, Canada.
-
D.
Sharswood
Sharswood is a residential neighborhood in North Philadelphia known for its ongoing redevelopment and proximity to areas like Brewerytown and Girard College.
-
E.
Parkside
Parkside is a primarily residential neighborhood on the western side of San Francisco, known for its quiet streets, proximity to the ocean, and access to public transit.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d32991c81909801161b0a416c94 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.