Triple
T13107554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Through the Fire |
E310882
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Tom Keane |
E310882
|
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: Tom Keane | Statement: [Through the Fire, composer, Tom Keane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Keane Context triple: [Through the Fire, composer, Tom Keane]
-
A.
Tom Keane
chosen
Tom Keane is an American songwriter, producer, and musician best known for co-writing the Grammy-nominated hit "Through the Fire" for Chaka Khan and contributing extensively to pop and R&B music.
-
B.
John O’Keefe
John O’Keefe is a British-American neuroscientist renowned for discovering place cells in the hippocampus, a breakthrough that helped reveal the brain’s internal GPS system.
-
C.
John O’Keefe
John O’Keefe is an American playwright, actor, and director known for his experimental and avant-garde theater works.
-
D.
Tom Kilpatrick
Tom Kilpatrick was a screenwriter best known for his work on the 1940 science fiction horror film "Dr. Cyclops."
-
E.
Daniel O'Keefe
Daniel O'Keefe is an American writer and editor best known for originating the holiday of Festivus, later popularized by the television show "Seinfeld."
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff07c7948190b4728e0e24b4cd76 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 9:05 p.m.