Triple
T15541957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joss Winslet |
E370500
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Winslet |
E1104622
|
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: Winslet | Statement: [Joss Winslet, familyName, Winslet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winslet Context triple: [Joss Winslet, familyName, Winslet]
-
A.
Winslet
chosen
Winslet is a surname most famously associated with English actress Kate Winslet and her family.
-
B.
Joss Winslet
Joss Winslet is a sibling of acclaimed English actress Kate Winslet and a member of the Winslet family connected to the entertainment industry.
-
C.
Beth Winslet
Beth Winslet is a British actress and the younger sister of acclaimed film star Kate Winslet.
-
D.
Kate Winslet
Kate Winslet is an acclaimed English actress known for her versatile performances in films such as "Titanic," "Eternal Sunshine of the Spotless Mind," and "The Reader," for which she has received numerous major awards.
-
E.
Anna Winslet
Anna Winslet is a member of the Winslet family and the sister of acclaimed English actress Kate Winslet.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04432c3808190bb5b653bf8de30c6 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4558677881908704ac86c12e1fc4 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:07 a.m.