Triple
T10225627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlots |
E243195
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Samantha Morton |
E335579
|
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: Samantha Morton | Statement: [Harlots, stars, Samantha Morton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samantha Morton Context triple: [Harlots, stars, Samantha Morton]
-
A.
Samantha Morton
chosen
Samantha Morton is an acclaimed English actress and director known for her intense, emotionally rich performances in independent films and major productions alike.
-
B.
Virginia Madsen
Virginia Madsen is an American actress known for her versatile film and television roles, including acclaimed performances in movies such as "Sideways" and "Candyman."
-
C.
Alice Ripley
Alice Ripley is a Tony Award–winning American actress and singer best known for her acclaimed performance as Diana Goodman in the Broadway musical "Next to Normal."
-
D.
Maria Bello
Maria Bello is an American actress known for her versatile roles in film and television, including performances in projects like "A History of Violence," "ER," and "NCIS."
-
E.
Natalie Zea
Natalie Zea is an American actress best known for her television work in series such as Justified, The Following, and The Detour.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb26d17c8190848b6b0d4df06fa2 |
completed | April 9, 2026, 7:16 p.m. |
Created at: April 6, 2026, 11:17 a.m.