Triple
T4559785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love & Mercy |
E120564
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Claire Rudnick Polstein |
E515892
|
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: Claire Rudnick Polstein | Statement: [Love & Mercy, producer, Claire Rudnick Polstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Rudnick Polstein Context triple: [Love & Mercy, producer, Claire Rudnick Polstein]
-
A.
Claire Rudnick Polstein
chosen
Claire Rudnick Polstein is a film producer best known for her work on the drama feature "The Company Men."
-
B.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
C.
Claudia Finkelstein
Claudia Finkelstein is a physician and academic known for her work in internal medicine and physician well-being.
-
D.
Elissa Durwood Grodin
Elissa Durwood Grodin is an American author known for writing mystery novels and children's books.
-
E.
Joyce Piven
Joyce Piven is an American acting teacher, director, and co-founder of the Piven Theatre Workshop, known for training numerous prominent actors including her son Jeremy Piven.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd582b871c8190be0b70c76d639000 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf32f31ecc81909cb29b762481b08e |
completed | March 22, 2026, 12:08 a.m. |
Created at: March 20, 2026, 1:09 p.m.