Triple
T15566362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Geena Davis Show |
E371124
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Terri Minsky
Terri Minsky is an American television writer and producer best known for creating the Disney Channel series "Lizzie McGuire."
|
E1197099
|
NE FINISHED |
How this triple was built (4 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, creator, Terri Minsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terri Minsky Context triple: [The Geena Davis Show, creator, Terri Minsky]
-
A.
Stacey Mindich
Stacey Mindich is a Tony Award–winning American theater producer best known for shepherding the hit Broadway musical "Dear Evan Hansen."
-
B.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
-
C.
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.
-
D.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
-
E.
Liz Gorinsky
Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Terri Minsky Triple: [The Geena Davis Show, creator, Terri Minsky]
Generated description
Terri Minsky is an American television writer and producer best known for creating the Disney Channel series "Lizzie McGuire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terri Minsky Target entity description: Terri Minsky is an American television writer and producer best known for creating the Disney Channel series "Lizzie McGuire."
-
A.
Stacey Mindich
Stacey Mindich is a Tony Award–winning American theater producer best known for shepherding the hit Broadway musical "Dear Evan Hansen."
-
B.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
-
C.
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.
-
D.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
-
E.
Liz Gorinsky
Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
- F. None of above. chosen
Provenance (5 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_69fff79031f88190bf129582deeed3b9 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff83b56288190a139f6fbf7b4d1b3 |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff89eb66481909441b9bdfcada550 |
completed | May 10, 2026, 3:16 a.m. |
Created at: April 10, 2026, 4:10 a.m.