Triple
T7602704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evening Shade |
E180023
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ann Wedgeworth |
E445619
|
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: Ann Wedgeworth | Statement: [Evening Shade, starring, Ann Wedgeworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Wedgeworth Context triple: [Evening Shade, starring, Ann Wedgeworth]
-
A.
Ann Wedgeworth
chosen
Ann Wedgeworth was an American character actress best known for her Tony Award-winning stage work and memorable roles in films and television series such as "Three's Company."
-
B.
Susan Wakley
Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
-
C.
Gwynne Gilford
Gwynne Gilford is an American former actress who appeared in film and television in the 1970s and 1980s.
-
D.
Ann Denman
Ann Denman was the wife of renowned English neoclassical sculptor John Flaxman, known primarily through her close association with his life and work.
-
E.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fa633081909660f653f5b073cd |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2693f054081909fe58a252bd76226 |
completed | April 5, 2026, 1:53 p.m. |
Created at: March 27, 2026, 3:54 p.m.