Triple
T8424513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rhythm of the Night |
E198943
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Mike Gaffey |
E267223
|
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: Mike Gaffey | Statement: [The Rhythm of the Night, writer, Mike Gaffey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Gaffey Context triple: [The Rhythm of the Night, writer, Mike Gaffey]
-
A.
Mike Gaffey
chosen
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
B.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
C.
Jeff Fahey
Jeff Fahey is an American actor known for his work in film and television, including roles in genre projects like the grindhouse-style horror film "Planet Terror."
-
D.
Mike Gillespie
Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
-
E.
Kevin Gage
Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a0d04481908a5da908cafeceaa |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05bdc87fc8190a5ae0883742cb08c |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 6:07 p.m.