Triple
T9578854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scrubs |
E231117
|
entity |
| Predicate | openingThemePerformer |
P21830
|
FINISHED |
| Object | Lazlo Bane |
E809310
|
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: Lazlo Bane | Statement: [Scrubs, openingThemePerformer, Lazlo Bane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazlo Bane Context triple: [Scrubs, openingThemePerformer, Lazlo Bane]
-
A.
Lazlo Bane
chosen
Lazlo Bane is an American alternative rock band best known for their song "Superman," which served as the theme song for the television series Scrubs.
-
B.
Sibi Blazic
Sibi Blazic is an American former model, makeup artist, and stunt driver best known as the longtime wife of actor Christian Bale.
-
C.
Ivo Lola Ribar
Ivo Lola Ribar was a prominent Yugoslav communist youth leader and Partisan commander who became a symbol of the anti-fascist resistance during World War II.
-
D.
Dragomir
Dragomir is a Swedish actor and former criminal best known internationally for his role in the film "Easy Money" and appearances in action movies and TV series.
-
E.
Alfred Biolek
Alfred Biolek was a prominent German television presenter, producer, and talk show host known for shaping postwar German entertainment and culinary programming.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1790fbfb88190b1d12f5ed3d4ef7e |
completed | April 4, 2026, 8:48 p.m. |
Created at: March 30, 2026, 8:05 p.m.