Triple
T16765594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquemini |
E407454
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Carl Mo |
E419366
|
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: Carl Mo | Statement: [Aquemini, producer, Carl Mo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Mo Context triple: [Aquemini, producer, Carl Mo]
-
A.
Carl Mo
Carl Mo is an author known for works written by Ms. Jackson.
-
B.
Carl Mo
chosen
Carl Mo is a music producer known for his work in contemporary R&B and hip-hop.
-
C.
Carl Moll
Carl Moll was an Austrian painter and co-founder of the Vienna Secession, known for his refined interiors and landscapes in a distinctive, decorative style.
-
D.
Arthur Carlson
Arthur Carlson is a bumbling yet endearing radio station manager character from the WKRP in Cincinnati television franchise.
-
E.
Carl Sack
Carl Sack is a fictional attorney character portrayed by John Larroquette on the legal dramedy series "Boston Legal."
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abf126408190bd0365eca150f745 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.