Triple
T17258616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peri Brown |
E418948
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Nicola Bryant |
E1182274
|
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: Nicola Bryant | Statement: [Peri Brown, portrayedBy, Nicola Bryant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicola Bryant Context triple: [Peri Brown, portrayedBy, Nicola Bryant]
-
A.
Nicola Bryant
chosen
Nicola Bryant is an English actress best known for playing the Doctor Who companion Peri Brown during the 1980s.
-
B.
Nicola Reynolds
Nicola Reynolds is a Welsh actress best known for her role in the cult British film "Human Traffic" and for her work in UK television and theatre.
-
C.
Nicola Blackwell
Nicola Blackwell is an actress known for her role in the acclaimed British dance drama film "Billy Elliot."
-
D.
Nicola Duffett
Nicola Duffett is a British actress known for her work in television, film, and theatre, including roles in popular UK dramas and soap operas.
-
E.
Nicola Marsh
Nicola Marsh is a cinematographer best known for her work on the Oscar-winning documentary "20 Feet from Stardom."
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6ea7588190a94d222504a8cef5 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179445cac8190833eb7cd879a93bd |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:39 a.m.