Triple
T16671615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guero |
E405117
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tony Hoffer |
E726749
|
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: Tony Hoffer | Statement: [Guero, producer, Tony Hoffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Hoffer Context triple: [Guero, producer, Tony Hoffer]
-
A.
Tony Hoffer
chosen
Tony Hoffer is an American record producer and mixer known for his work with artists such as Beck, M83, and The Kooks, shaping distinctive indie and alternative rock sounds.
-
B.
Rob Hoffman
Rob Hoffman is a music producer best known for his work in hip-hop and R&B, including collaborations with prominent artists in the genre.
-
C.
Jim Hoffer
Jim Hoffer is an American investigative journalist best known for his long career at WABC-TV in New York and his former marriage to television host Mika Brzezinski.
-
D.
Scott Haffner
Scott Haffner is a former American college basketball standout and NBA guard best known for his prolific scoring at the University of Evansville and a brief professional career with the Miami Heat and Charlotte Hornets.
-
E.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca175088190a0435422e13278c2 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e224826081909acf33358b0f9fa9 |
completed | May 13, 2026, 2:29 a.m. |
Created at: April 10, 2026, 5:18 a.m.