Triple
T19504837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Burset |
E487993
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Michael Burset |
—
|
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: Michael Burset | Statement: [Crystal Burset, parentOf, Michael Burset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Burset Context triple: [Crystal Burset, parentOf, Michael Burset]
-
A.
Michael Burset
chosen
Michael Burset is the son of Sophia Burset in the television series "Orange Is the New Black."
-
B.
Robb McDaniels
Robb McDaniels is a music industry executive and entrepreneur best known for founding the digital distribution and music services company Ingrooves Music Group.
-
C.
Miles Burke
Miles Burke is one of the children of American actress Joan Cusack.
-
D.
Adam Burton
Adam Burton is a fictional character from the romantic comedy film "Little Manhattan," which follows a young boy's first experience with love in New York City.
-
E.
Michael Burridge
Michael Burridge is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Burridge.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.