Triple
T17798211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem |
E444348
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Tamzin Merchant |
E640098
|
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: Tamzin Merchant | Statement: [Salem, castMember, Tamzin Merchant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamzin Merchant Context triple: [Salem, castMember, Tamzin Merchant]
-
A.
Tamzin Merchant
chosen
Tamzin Merchant is an English actress best known for her roles in period dramas and fantasy series, including prominent work in television and film.
-
B.
Tamzin Malleson
Tamzin Malleson is a British actress best known for her television work in crime and drama series.
-
C.
Tamzin Outhwaite
Tamzin Outhwaite is an English actress best known for her role as Melanie Owen in the BBC soap opera EastEnders and for extensive work in British television and theatre.
-
D.
Charlie Creed-Miles
Charlie Creed-Miles is an English actor known for his gritty roles in British film and television, including prominent performances in crime and drama productions.
-
E.
Aidan Chambers
Aidan Chambers is a British author and critic best known for his innovative and award-winning young adult novels, including the Carnegie Medal–winning "Postcards from No Man’s Land."
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fcfdc8819086f41152860dfe18 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f83e8b88819088619e575d93ab4e |
completed | May 12, 2026, 9:51 a.m. |
Created at: April 10, 2026, 10:13 a.m.