Triple
T22670663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Especially for You |
E559907
|
entity |
| Predicate | mainPerformer |
P1363
|
FINISHED |
| Object | Jim Babjak |
—
|
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: Jim Babjak | Statement: [Especially for You, mainPerformer, Jim Babjak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Babjak Context triple: [Especially for You, mainPerformer, Jim Babjak]
-
A.
Jim Babjak
chosen
Jim Babjak is an American guitarist and songwriter best known as a founding member and lead guitarist of the rock band The Smithereens.
-
B.
David Burtka
David Burtka is an American actor and professional chef known for his work on stage and screen and for his long-term relationship and marriage to Neil Patrick Harris.
-
C.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
-
D.
Neil Baczynsky
Neil Baczynsky is a central student character in the 2009 musical drama film "Fame," portrayed as an aspiring performer navigating the challenges of a prestigious performing arts high school.
-
E.
Steve Babick
Steve Babick is an American local politician who serves as the mayor of Carrollton, Texas.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781f946c8190add74a7dac2b1819 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.