Triple
T15441158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripper Street |
E369902
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Will Gould |
E1143809
|
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: Will Gould | Statement: [Ripper Street, executiveProducer, Will Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Gould Context triple: [Ripper Street, executiveProducer, Will Gould]
-
A.
Will Gould
chosen
Will Gould is a television producer known for his executive production work on high-profile series such as *The Gentlemen*.
-
B.
Donald Gordon
Donald Gordon was an actor known for appearing in mid-20th-century films, including the romantic comedy "No Time for Love."
-
C.
Donald Gordon
Donald Gordon was a prominent South African-born businessman and philanthropist known for founding the financial services group Liberty Life and for his major contributions to the arts and education.
-
D.
David Brookwell
David Brookwell is a film and television producer best known for co-founding Brookwell McNamara Entertainment and producing family-oriented and inspirational projects such as "Soul Surfer."
-
E.
Michael Gwynn
Michael Gwynn was a British character actor known for his roles in mid-20th-century film and television, including appearances in classic horror and science fiction productions.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4549074481908c12045632f11941 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 3:21 a.m.