Triple
T15385675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red, White and Blue |
E367909
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tracey Scoffield |
E1170460
|
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: Tracey Scoffield | Statement: [Red, White and Blue, producer, Tracey Scoffield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracey Scoffield Context triple: [Red, White and Blue, producer, Tracey Scoffield]
-
A.
Tracey Scoffield
chosen
Tracey Scoffield is a British television and film producer known for her work on high-profile political and historical dramas.
-
B.
Tracey Needham
Tracey Needham is an American actress best known for her television roles on series such as "Life Goes On," "JAG," and "The Division."
-
C.
Tracey McShane
Tracey McShane is an American former veterinary technician and graphic designer best known as the wife of comedian and former "Daily Show" host Jon Stewart.
-
D.
Tracey Childs
Tracey Childs is a British actress known for her work in television, theatre, and film, including period dramas and popular UK series.
-
E.
Tracie Simpson
Tracie Simpson is a British television producer best known for her work on the long-running science fiction series Doctor Who.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e74ff70819094c1a85f51d6e228 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755ffbdc8190825010885e68ebc3 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 3:19 a.m.