Triple
T16437808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighborhoods |
E399220
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dave Katz |
E674271
|
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: Dave Katz | Statement: [Neighborhoods, producer, Dave Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Katz Context triple: [Neighborhoods, producer, Dave Katz]
-
A.
Dave Katz
chosen
Dave Katz is an American songwriter and record producer best known as part of the production duo S*A*M & Sluggo, who have worked with numerous pop and rock artists.
-
B.
Ross Katz
Ross Katz is an American film producer and director known for his work on acclaimed independent films such as "Lost in Translation."
-
C.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
D.
Jason Katz
Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
-
E.
Josh Klausner
Josh Klausner is an American screenwriter and filmmaker known for co-writing major studio comedies and animated features, including entries in the Shrek franchise.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba5a4748190b63ff53bfb5957c7 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058143cb88190943b951cc8e47a66 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.