Triple
T18533498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minx |
E452900
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Ellen Rapoport |
—
|
NE NERFINISHED |
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: Ellen Rapoport | Statement: [Minx, executiveProducer, Ellen Rapoport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Rapoport Context triple: [Minx, executiveProducer, Ellen Rapoport]
-
A.
Ellen Rapoport
chosen
Ellen Rapoport is a television writer and producer best known for creating the comedy series "Minx."
-
B.
Elizabeth Rapoport
Elizabeth Rapoport is a television writer and producer known for her work on various American TV series.
-
C.
Ellen Woglom
Ellen Woglom is an American actress known for her work in television series and films, often appearing in drama and genre projects.
-
D.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
E.
Evelyn Meltzer
Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533ffc38881909f8ee132314f58a3 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.