Triple
T10660621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Scher Theatre |
E251213
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Anna Scher |
E877475
|
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: Anna Scher | Statement: [Anna Scher Theatre, namedAfter, Anna Scher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Scher Context triple: [Anna Scher Theatre, namedAfter, Anna Scher]
-
A.
Anna Scher
chosen
Anna Scher is a British drama teacher and theatre director best known for founding the influential Anna Scher Theatre in London, which has trained many prominent actors.
-
B.
Paula DuPré Pesmen
Paula DuPré Pesmen is an American film producer best known for her work on acclaimed documentaries such as the Oscar-winning "The Cove" and "Chasing Ice."
-
C.
Marya Mannes
Marya Mannes was an American writer, critic, and social commentator known for her sharp wit and incisive observations on mid-20th-century culture and politics.
-
D.
Ann Turkel
Ann Turkel is an American actress and former model known for her film and television roles in the 1970s and 1980s.
-
E.
Gabriela Lena Frank
Gabriela Lena Frank is an American composer and pianist known for blending Western classical music with Latin American folk influences, particularly drawing on her Peruvian heritage.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e017f97c8190b22765a6f1e6719d |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9885dc17881909df20abedd9da5e3 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:07 p.m.