Triple
T3526216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Van Dyke |
E74544
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Arlene Silver |
E362852
|
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: Arlene Silver | Statement: [Dick Van Dyke, spouse, Arlene Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlene Silver Context triple: [Dick Van Dyke, spouse, Arlene Silver]
-
A.
Arlene Silver
chosen
Arlene Silver is a professional makeup artist best known as the much younger wife of legendary American actor and entertainer Dick Van Dyke.
-
B.
Ilene Chaiken
Ilene Chaiken is an American television writer and producer best known as the creator of "The L Word" and a key creative force behind several high-profile drama series.
-
C.
Gloria Rudisch
Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
-
D.
Laura Silverman
Laura Silverman is an American actress and voice actress known for her work on shows like "Dr. Katz, Professional Therapist" and "The Sarah Silverman Program."
-
E.
Harlene Rosen
Harlene Rosen is an American woman best known as the first wife of filmmaker and comedian Woody Allen, to whom she was married in the 1950s.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6bb0748190bfccfe25d2ab41b7 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bca41a88190b5550b9c1e763092 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:19 p.m.