Triple
T15390794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Dubanowski |
E368037
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Parker Dubanowski |
E1168104
|
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: Parker Dubanowski | Statement: [Amy Dubanowski, relative, Parker Dubanowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parker Dubanowski Context triple: [Amy Dubanowski, relative, Parker Dubanowski]
-
A.
Parker Dubanowski
chosen
Parker Dubanowski is a fictional character known primarily as the son of Amy Dubanowski in the television series "Superstore."
-
B.
Parker Goris
Parker Goris is an American voice actor best known for portraying Flounder in Disney-related projects.
-
C.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
-
D.
Parker Corey
Parker Corey is an American music producer and one-third of the experimental hip hop group Injury Reserve, known for his innovative and genre-blending production style.
-
E.
Parker Williams
Parker Williams is a fictional character from the television series "In the Heat of the Night," serving as a deputy in the Sparta, Mississippi police department.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677ef27c81909fd160205b71ca55 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 3:19 a.m.