Triple
T21877693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chasin’ Ladies |
E540191
|
entity |
| Predicate | performerMember |
P22076
|
FINISHED |
| Object | Kenny Aaronson |
—
|
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: Kenny Aaronson | Statement: [Chasin’ Ladies, performerMember, Kenny Aaronson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenny Aaronson Context triple: [Chasin’ Ladies, performerMember, Kenny Aaronson]
-
A.
Kenny Aaronson
chosen
Kenny Aaronson is an American rock bassist and session musician known for his work with numerous bands and artists since the 1970s.
-
B.
Benjamin Melniker
Benjamin Melniker was an American film and television producer best known for his long-running role as an executive producer on numerous DC Comics adaptations, including the Batman and Constantine franchises.
-
C.
Martin Kihn
Martin Kihn is an American writer and former management consultant whose memoir about his consulting career inspired the television series "House of Lies."
-
D.
Joel Zimmerman
Joel Zimmerman is a film editor best known for his work on the 2000 horror film "Shadow of the Vampire."
-
E.
Joel McNeely
Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33c012c819096d0f7b2ffdc7a2f |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.