Triple
T21463385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up the Junction |
E529529
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Carol White |
—
|
NE NERFINISHED |
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: Carol White | Statement: [Up the Junction, starring, Carol White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol White Context triple: [Up the Junction, starring, Carol White]
-
A.
Carol White
chosen
Carol White was a British actress best known for her powerful performances in socially conscious films of the 1960s, particularly in the kitchen-sink drama movement.
-
B.
Alice White
Alice White was an American film actress prominent in the late silent and early sound eras of Hollywood cinema.
-
C.
Liz White
Liz White is a British actress best known for her role as WPC Annie Cartwright in the television drama series "Life on Mars."
-
D.
Sheila Whiteley
Sheila Whiteley was a British musicologist renowned for her pioneering work on popular music, gender, and cultural studies.
-
E.
Sheila White
Sheila White was a British actress known for her roles in 1970s film and television comedies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9efdb188190be79b72e1bd18860 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:09 p.m.