Triple
T7334017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Rosenblatt |
E169078
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Johnny Rosenblatt |
E169078
|
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: Johnny Rosenblatt | Statement: [Johnny Rosenblatt, name, Johnny Rosenblatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Rosenblatt Context triple: [Johnny Rosenblatt, name, Johnny Rosenblatt]
-
A.
Johnny Rosenblatt
chosen
Johnny Rosenblatt was a longtime Omaha, Nebraska mayor and civic leader best known for his role in bringing and supporting professional and collegiate baseball to the city.
-
B.
Jac Holzman
Jac Holzman is an American music industry executive best known as the founder of Elektra Records and a pioneering figure in the development of the modern record label.
-
C.
Bobby Blotzer
Bobby Blotzer is an American drummer best known as the longtime percussionist for the glam metal band Ratt.
-
D.
Ted Berman
Ted Berman was an American animator and film director best known for his work at Walt Disney Productions during the studio’s classic and transitional eras.
-
E.
Eric Guggenheim
Eric Guggenheim is an American screenwriter and television producer known for his work on films like "Miracle" and series such as "Hawaii Five-0" and "Magnum P.I."
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0c25758819095aa5041c6ecff07 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef1eb370819081a4c6e75ceaf2eb |
completed | March 28, 2026, 3:09 p.m. |
Created at: March 27, 2026, 3:04 p.m.