Triple
T15566373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Geena Davis Show |
E371124
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Terri Minsky |
E1197099
|
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: Terri Minsky | Statement: [The Geena Davis Show, executiveProducer, Terri Minsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terri Minsky Context triple: [The Geena Davis Show, executiveProducer, Terri Minsky]
-
A.
Terri Minsky
chosen
Terri Minsky is an American television writer and producer best known for creating the Disney Channel series "Lizzie McGuire."
-
B.
Stacey Mindich
Stacey Mindich is a Tony Award–winning American theater producer best known for shepherding the hit Broadway musical "Dear Evan Hansen."
-
C.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
-
D.
Teri Weinberg
Teri Weinberg is a television producer best known for her work on hit series such as "Ugly Betty" and for her executive roles at major production companies.
-
E.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee31b70819092d0583100a7101a |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 4:10 a.m.