Triple
T19645837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood, Sweat & Tears |
E471668
|
entity |
| Predicate | originalMember |
P446
|
FINISHED |
| Object | Steve Katz |
—
|
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: Steve Katz | Statement: [Blood, Sweat & Tears, originalMember, Steve Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Katz Context triple: [Blood, Sweat & Tears, originalMember, Steve Katz]
-
A.
Steve Katz
chosen
Steve Katz is an American guitarist and record producer best known as a founding member of the jazz-rock band Blood, Sweat & Tears.
-
B.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
C.
Richard Katz
Richard Katz is a charismatic, self-destructive indie rock musician who serves as one of the central figures in Jonathan Franzen’s novel "Freedom."
-
D.
Peter Katz
Peter Katz is a film producer best known for his work on the horror film "Don't Look Now."
-
E.
Charles Katz
Charles Katz was the defendant whose challenge to FBI wiretapping led to the landmark U.S. Supreme Court decision in Katz v. United States, which redefined Fourth Amendment protections for privacy.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641250e108190a707452fefc87041 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.