Triple
T16574007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Vogel |
E402662
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paula Vogel |
E402662
|
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: Paula Vogel | Statement: [Paula Vogel, name, Paula Vogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula Vogel Context triple: [Paula Vogel, name, Paula Vogel]
-
A.
Paula Vogel
chosen
Paula Vogel is a Pulitzer Prize–winning American playwright renowned for works such as "How I Learned to Drive" and "The Baltimore Waltz."
-
B.
Tovah Feldshuh
Tovah Feldshuh is an American actress and singer known for her work on stage, film, and television, including acclaimed performances on Broadway and in series like "The Walking Dead."
-
C.
Judith Malina
Judith Malina was a German-born American actress, director, and political activist best known as the co-founder of the influential experimental theater group The Living Theatre.
-
D.
Diane Weyermann
Diane Weyermann was an influential American film producer and executive known for championing and overseeing numerous acclaimed social-issue documentaries.
-
E.
Deborah Lurie
Deborah Lurie is an American composer and arranger known for her work on numerous film scores and soundtracks.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595ab9dc81909b774f6d9c17d6dd |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eea409c8190808170a0b3f4bd17 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.