Triple
T15389163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uptown Girls |
E367993
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Marley Shelton |
E358569
|
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: Marley Shelton | Statement: [Uptown Girls, castMember, Marley Shelton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marley Shelton Context triple: [Uptown Girls, castMember, 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.
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."
-
C.
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."
-
D.
Jocqui Smollett
Jocqui Smollett is an American actor and member of the Smollett family of performers, known for his work in film and television alongside his siblings.
-
E.
Marley Taylor
Marley Taylor is an actress known for appearing in the holiday comedy film "Almost Christmas."
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6d35148190aa4dc0c2a7bf849d |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:19 a.m.