Triple
T10081151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debralee Scott |
E213902
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Debralee Scott |
E213902
|
NE FINISHED |
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: Debralee Scott | Statement: [Debralee Scott, name, Debralee Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debralee Scott Context triple: [Debralee Scott, name, Debralee Scott]
-
A.
Debralee Scott
chosen
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
B.
Stefanie Scott
Stefanie Scott is an American actress and singer best known for her roles in the Disney Channel series "A.N.T. Farm" and various horror and thriller films.
-
C.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
D.
Debra Hill
Debra Hill was an American film producer and screenwriter best known for co-writing and producing influential horror films such as "Halloween" alongside John Carpenter.
-
E.
Debra Wilson
Debra Wilson is an American actress and comedian best known for her groundbreaking work on the sketch comedy series MADtv and her extensive voice acting in animation and video games.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd032ef288190a961d266d9ecafbc |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e177fcc81908613409c03995ea8 |
completed | April 10, 2026, 4:35 a.m. |
Created at: March 30, 2026, 9 p.m.