Triple
T8129921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13 Going on 30 |
E189827
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Donna Arkoff Roth |
E729190
|
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: Donna Arkoff Roth | Statement: [13 Going on 30, producer, Donna Arkoff Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Arkoff Roth Context triple: [13 Going on 30, producer, Donna Arkoff Roth]
-
A.
Donna Arkoff Roth
chosen
Donna Arkoff Roth is a film producer known for her work on popular Hollywood movies, including the romantic comedy "13 Going on 30."
-
B.
Donna Dubrow
Donna Dubrow is a film producer best known for her work in the 1990s and for her former marriage to action director John McTiernan.
-
C.
Ann Biderman
Ann Biderman is an American screenwriter and television creator known for her work on crime dramas such as the film "Public Enemies" and the TV series "Southland" and "Ray Donovan."
-
D.
Carole Kravetz
Carole Kravetz is a film editor known for her work on the crime thriller "One False Move."
-
E.
Ilene Rosenzweig
Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3901157c81908064c4b47d1c1ea4 |
completed | April 2, 2026, 9:38 a.m. |
Created at: March 30, 2026, 5:34 p.m.