Triple
T8133588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauley Perrette |
E189912
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pauley Perrette |
E189912
|
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: Pauley Perrette | Statement: [Pauley Perrette, name, Pauley Perrette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pauley Perrette Context triple: [Pauley Perrette, name, Pauley Perrette]
-
A.
Pauley Perrette
chosen
Pauley Perrette is an American actress best known for her long-running role as forensic scientist Abby Sciuto on the television series "NCIS."
-
B.
Allison Mack
Allison Mack is an American actress best known for her role as Chloe Sullivan on the television series "Smallville."
-
C.
Melissa Cobb
Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
-
D.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
-
E.
Danielle Harris
Danielle Harris is an American actress best known for her prominent roles in horror films, particularly the Halloween franchise and other genre favorites.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43ba98c881909c4b4c9cd25ad063 |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbec8491c81908362d44c42fc8568 |
completed | April 1, 2026, 6:44 a.m. |
Created at: March 30, 2026, 5:35 p.m.