Triple
T21536775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decoding Annie Parker |
E531368
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Marley Shelton |
—
|
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: Marley Shelton | Statement: [Decoding Annie Parker, starring, Marley Shelton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marley Shelton Context triple: [Decoding Annie Parker, starring, Marley Shelton]
-
A.
Marley Shelton
chosen
Marley Shelton is an American actress known for her roles in films such as "Planet Terror," "Never Been Kissed," and "Scream 4."
-
B.
Tambrey Tyree
Tambrey Tyree is an individual known primarily by the nickname "Tammy," with limited publicly available biographical or professional information.
-
C.
Aubrey Peeples
Aubrey Peeples is an American actress and singer best known for her roles in the TV series "Nashville" and films such as "Jem and the Holograms."
-
D.
Nia Peeples
Nia Peeples is an American actress and singer best known for her roles in the TV series "Fame," "Walker, Texas Ranger," and "Pretty Little Liars."
-
E.
N'Bushe Wright
N'Bushe Wright is an American actress and dancer best known for her roles in films such as "Blade" and "Dead Presidents," as well as the television series "New York Undercover."
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.