Triple
T17060218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcus Welby, M.D. |
E413935
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | David Victor |
E1248979
|
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: David Victor | Statement: [Marcus Welby, M.D., executiveProducer, David Victor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Victor Context triple: [Marcus Welby, M.D., executiveProducer, David Victor]
-
A.
David Victor
chosen
David Victor was an American television producer and writer best known for creating the popular medical drama series "Marcus Welby, M.D."
-
B.
David Frank
David Frank is a music producer best known for his work on Christina Aguilera’s hit single "Genie in a Bottle."
-
C.
Ian Dunn
Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
-
D.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
E.
Peter Davis
Peter Davis is a New Zealand academic and sociologist best known as the husband of former Prime Minister Helen Clark.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7d2dc48190816388570fa31c2e |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139f346f0819094a430a11e361bac |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:34 a.m.