Triple
T18685288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoga Hosers |
E456843
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object | Liz Destro |
—
|
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: Liz Destro | Statement: [Yoga Hosers, producedBy, Liz Destro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Destro Context triple: [Yoga Hosers, producedBy, Liz Destro]
-
A.
Liz Destro
chosen
Liz Destro is a film producer known for her work on independent and comedy features, including the medieval comedy "The Little Hours."
-
B.
Vella Lovell
Vella Lovell is an American actress best known for her role as Heather Davis on the musical comedy-drama television series "Crazy Ex-Girlfriend."
-
C.
Rose Tico
Rose Tico is a Resistance mechanic-turned-hero in the Star Wars sequel trilogy who fights alongside Finn against the First Order.
-
D.
Dedra Meero
Dedra Meero is an ambitious and ruthless Imperial Security Bureau officer in the Star Wars series "Andor," known for her methodical pursuit of rebel activity.
-
E.
Madame Kovarian
Madame Kovarian is a manipulative and fanatical antagonist in Doctor Who who orchestrates a long-term plot against the Eleventh Doctor using River Song as a weapon.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2c58188190b906c9ab080a76ff |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.