Triple
T21721673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweetheart |
E536171
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Manuel Seal |
—
|
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: Manuel Seal | Statement: [Sweetheart, writer, Manuel Seal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manuel Seal Context triple: [Sweetheart, writer, Manuel Seal]
-
A.
Manuel Seal
chosen
Manuel Seal is an American songwriter and producer best known for his work on 1990s R&B hits, particularly collaborations with artists like Usher and Mariah Carey.
-
B.
Manuel Alejandro
Manuel Alejandro is a renowned Spanish composer and producer best known for writing and producing iconic Latin ballads for major artists across the Spanish-speaking world.
-
C.
Manuel Riveiro
Manuel Riveiro is a film composer best known for scoring the horror movie "The Green Inferno."
-
D.
Francisco Menéndez
Francisco Menéndez was a formerly enslaved African who became a leader of the free Black militia at Fort Mose in Spanish Florida, playing a key role in early Black resistance and community formation in what is now the United States.
-
E.
Guillermo Murray
Guillermo Murray was an Argentine-born Mexican actor known for his prolific work in classic Mexican cinema and telenovelas.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.