Triple
T20141111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Things Heard & Seen |
E491165
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Stefanie Azpiazu |
—
|
NE NERFINISHED |
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: Stefanie Azpiazu | Statement: [Things Heard & Seen, producer, Stefanie Azpiazu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefanie Azpiazu Context triple: [Things Heard & Seen, producer, Stefanie Azpiazu]
-
A.
Stefanie Azpiazu
chosen
Stefanie Azpiazu is a film producer known for her work on independent and character-driven movies, including the romantic comedy-drama "Enough Said."
-
B.
Marisa Echeverria
Marisa Echeverria is an actress known for her role in the horror film "The Bye Bye Man."
-
C.
Celina Carvajal
Celina Carvajal, also known professionally as Lena Hall, is a Tony Award–winning American actress and singer best known for her work in Broadway musicals and rock-inspired performances.
-
D.
Andrea Salinas
Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
-
E.
Sofia Arreguin
Sofia Arreguin is a member of the creative collective or group known as Wand.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.