Triple
T11171309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Winter Guest |
E264278
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Phyllida Law |
E21939
|
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: Phyllida Law | Statement: [The Winter Guest, starring, Phyllida Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phyllida Law Context triple: [The Winter Guest, starring, Phyllida Law]
-
A.
Phyllida Law
chosen
Phyllida Law is a Scottish actress known for her extensive work in film, television, and theatre, as well as for being part of a prominent acting family.
-
B.
Isla Phillips
Isla Phillips is a granddaughter of Princess Anne and the eldest great-grandchild of Queen Elizabeth II and Prince Philip.
-
C.
Anna Chancellor
Anna Chancellor is a British actress known for her work in film, television, and theatre, including notable roles in productions such as "Four Weddings and a Funeral" and various acclaimed TV dramas.
-
D.
Lesley Garrett
Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
-
E.
Wendy Hiller
Wendy Hiller was an acclaimed English stage and film actress known for her nuanced, often understated performances in classics such as "Pygmalion" and "Separate Tables."
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e603a1acc08190816db1ff13708e79 |
completed | April 20, 2026, 10:44 a.m. |
Created at: April 8, 2026, 9:29 p.m.