Triple
T10325814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brain on Fire |
E242757
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Jonathan Goldsmith |
E834382
|
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: Jonathan Goldsmith | Statement: [Brain on Fire, musicBy, Jonathan Goldsmith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Goldsmith Context triple: [Brain on Fire, musicBy, Jonathan Goldsmith]
-
A.
Jonathan Goldsmith
chosen
Jonathan Goldsmith is a Canadian composer best known for his film and television scores.
-
B.
Tony Goldwyn
Tony Goldwyn is an American actor, director, and producer best known for his roles in films like "Ghost" and the TV series "Scandal."
-
C.
Donald Goldsmith
Donald Goldsmith is an American astronomer, science writer, and popularizer of cosmology known for making complex astrophysical concepts accessible to general audiences.
-
D.
Gary Goldman
Gary Goldman is an American screenwriter best known for his work on major science fiction and action films, including the 1990 movie "Total Recall."
-
E.
Gary Goldman
Gary Goldman is an American animator, director, and producer best known for his work on Don Bluth–style animated films such as Anastasia.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da93b988190ad568b0677b5d344 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.