Triple
T23295662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reba |
E590161
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Mindy Schultheis |
—
|
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: Mindy Schultheis | Statement: [Reba, executiveProducer, Mindy Schultheis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindy Schultheis Context triple: [Reba, executiveProducer, Mindy Schultheis]
-
A.
Mindy Schultheis
chosen
Mindy Schultheis is a television producer known for her work on various comedy series, including serving as an executive producer on "The President Show."
-
B.
Mindy Sterling
Mindy Sterling is an American actress and comedian best known for her role as the villainous Frau Farbissina in the Austin Powers film series.
-
C.
Julie Beckman
Julie Beckman is an American architect best known for co-designing the National 9/11 Pentagon Memorial in Arlington, Virginia.
-
D.
Melinda Kinnaman
Melinda Kinnaman is an American-Swedish actress known for her work in Swedish film, television, and theatre, including her breakthrough role in the film "My Life as a Dog."
-
E.
Melinda Fuller
Melinda Fuller is a co-founder of WET Design, a prominent water feature design firm known for creating innovative fountains and aquatic installations worldwide.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cec9e88190b83cfd53a6455e0f |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.