Triple
T10396651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Tree Yard |
E245037
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Manda Levin |
E875022
|
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: Manda Levin | Statement: [Apple Tree Yard, executiveProducer, Manda Levin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manda Levin Context triple: [Apple Tree Yard, executiveProducer, Manda Levin]
-
A.
Manda Levin
chosen
Manda Levin is a television producer known for her executive production work on the crime drama series "The Tunnel."
-
B.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
C.
Seryl Kushner
Seryl Kushner is an American businesswoman and matriarch of the Kushner family, best known as the mother of real estate investor and former presidential advisor Jared Kushner.
-
D.
Ilene Rosenzweig
Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
-
E.
Mimi Leder
Mimi Leder is an American film and television director and producer known for her work on impactful dramas such as "Deep Impact," "The Leftovers," and "On the Basis of Sex."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbac97ce2481908ea11d6290a9bf2f |
completed | April 12, 2026, 2:30 p.m. |
Created at: April 6, 2026, 12:06 p.m.