Triple
T16729487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Turn |
E406549
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Richie Souf |
E1229886
|
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: Richie Souf | Statement: [My Turn, producer, Richie Souf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richie Souf Context triple: [My Turn, producer, Richie Souf]
-
A.
Richie Souf
chosen
Richie Souf is an American record producer known for his work in contemporary trap and hip-hop, collaborating with artists like Playboi Carti and Young Thug.
-
B.
John Sarrao
John Sarrao is an American physicist and scientific leader known for his work in condensed matter physics and for directing major U.S. research institutions, including the SLAC National Accelerator Laboratory.
-
C.
Bob Rafei
Bob Rafei is a video game artist and art director best known for his work at Naughty Dog on franchises such as Crash Bandicoot and Jak and Daxter.
-
D.
Greg Bouquett
Greg Bouquett is known as the former husband of American actress and director Tamara Tunie.
-
E.
Barry De Vorzon
Barry De Vorzon is an American songwriter and composer best known for his film and television scores, including work on projects like "The Warriors" and "The Young and the Restless."
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874ad5b481908199e4d99ac4225e |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d483a8c8190b127f32dcc21be5a |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.