Triple
T17698559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder Child |
E441235
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Gary Osborne |
—
|
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: Gary Osborne | Statement: [Thunder Child, lyricist, Gary Osborne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Osborne Context triple: [Thunder Child, lyricist, Gary Osborne]
-
A.
Gary Osborne
chosen
Gary Osborne is a British songwriter and lyricist best known for his collaborations with artists like Jeff Wayne and Elton John.
-
B.
Nick Osborne
Nick Osborne is a film producer best known for his work on the romantic comedy "License to Wed."
-
C.
Duncan Mills
Duncan Mills is a music producer and mixer known for his work with a range of indie and alternative artists.
-
D.
Greg Mathieson
Greg Mathieson is an American keyboardist, composer, and producer known for his work in jazz, fusion, and pop music, collaborating with numerous prominent artists.
-
E.
William Tummel
William Tummel was a Hollywood film assistant director who received an Academy Award for his work in the early years of the Oscars.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47158be9c8190bbf4e5162ff74ad2 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.