Triple
T7549373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lover Man |
E178490
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Roger Ramirez |
E679948
|
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: Roger Ramirez | Statement: [Lover Man, composer, Roger Ramirez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Ramirez Context triple: [Lover Man, composer, Roger Ramirez]
-
A.
Roger Ramirez
chosen
Roger Ramirez was an American jazz pianist and composer best known for co-writing the classic ballad "Lover Man (Oh, Where Can You Be?)."
-
B.
Dani Ramos
Dani Ramos is a central protagonist in the film "Terminator: Dark Fate," a young Mexican woman targeted by a new Terminator and protected by Sarah Connor and a reprogrammed cyborg.
-
C.
Cristóbal Rios
Cristóbal Rios is a former Starfleet officer turned roguish starship captain who serves as a key ally to Jean-Luc Picard in the series Star Trek: Picard.
-
D.
Felo Ramírez
Felo Ramírez was a renowned Cuban-American sportscaster best known as a legendary Spanish-language voice of Major League Baseball, particularly for his long tenure calling games for the Miami Marlins.
-
E.
Rafael Martinez
Rafael Martinez is an actor known for his role in the inspirational sports drama film "McFarland, USA."
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b35ba481908e1e5bbf329daa33 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a2083fdc8190b44e84e02ac3ef0a |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 3:49 p.m.