Triple
T20307154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God (song) |
E510135
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Eric Rosse |
—
|
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: Eric Rosse | Statement: [God (song), producer, Eric Rosse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Rosse Context triple: [God (song), producer, Eric Rosse]
-
A.
Eric Rosse
chosen
Eric Rosse is an American record producer and songwriter best known for his work with artists like Tori Amos and Sara Bareilles.
-
B.
Robert Kravis
Robert Kravis is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
-
C.
Stewart Myers
Stewart Myers is a prominent American economist and finance scholar best known for his foundational work in corporate finance theory, including the pecking order theory of capital structure.
-
D.
Henry Kravis
Henry Kravis is an American billionaire businessman and co-founder of the private equity firm Kohlberg Kravis Roberts & Co. (KKR), known as a pioneer of leveraged buyouts.
-
E.
Mario J. Gabelli
Mario J. Gabelli is an American billionaire investor, mutual fund manager, and philanthropist known for founding the investment firm GAMCO Investors and for his major contributions to business education.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6774068c08190824fa55438bab712 |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.