Triple
T11171300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Winter Guest |
E264278
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Sharman Macdonald |
E269152
|
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: Sharman Macdonald | Statement: [The Winter Guest, screenwriter, Sharman Macdonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharman Macdonald Context triple: [The Winter Guest, screenwriter, Sharman Macdonald]
-
A.
Sharman Macdonald
chosen
Sharman Macdonald is a Scottish playwright, screenwriter, and former actress known for works such as the play "When I Was a Girl I Used to Scream and Shout."
-
B.
Jo MacLean
Jo MacLean is a Scottish music promoter best known for co-founding and helping develop the Tiree Music Festival, a popular island music event in the Hebrides.
-
C.
Jamie Scott
Jamie Scott is a British singer-songwriter and producer known for his work with artists like One Direction and for co-writing numerous contemporary pop hits.
-
D.
Darin McFadyen
Darin McFadyen is a New Zealand-born DJ and producer best known for his breakbeat and electronic music work under the stage name Freq Nasty.
-
E.
Jimmy Yuill
Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
- 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_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 8, 2026, 9:29 p.m.