Triple
T20410565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wish You Were Here |
E500576
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Brian Humphries |
—
|
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: Brian Humphries | Statement: [Wish You Were Here, producer, Brian Humphries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Humphries Context triple: [Wish You Were Here, producer, Brian Humphries]
-
A.
Brian Humphries
chosen
Brian Humphries is a British audio engineer and record producer best known for his work with Pink Floyd on albums such as "Wish You Were Here."
-
B.
Jay Humphries
Jay Humphries is a former American professional basketball player and NBA point guard who later became a coach.
-
C.
Scott Humphrey
Scott Humphrey is a Canadian record producer and mixer known for his work in rock and metal, including collaborations with artists like Rob Zombie and Mötley Crüe.
-
D.
Curtis Hixon
Curtis Hixon was a prominent Tampa, Florida mayor and civic leader whose contributions to the city led to major public landmarks being named in his honor.
-
E.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.