Triple
T21735444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excuse My French |
E536509
|
entity |
| Predicate | hasGuestAppearance |
P4920
|
FINISHED |
| Object | Red Cafe |
—
|
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: Red Cafe | Statement: [Excuse My French, hasGuestAppearance, Red Cafe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Cafe Context triple: [Excuse My French, hasGuestAppearance, Red Cafe]
-
A.
Red Café
chosen
Red Café is a Brooklyn-born American rapper known for his mixtapes, club anthems, and collaborations within the East Coast hip-hop scene.
-
B.
Electric Café
Electric Café is a studio album by American R&B/pop group En Vogue that marked their return with a contemporary, electronically influenced sound.
-
C.
Electric Café
Electric Café is a 1986 electronic music album by German band Kraftwerk that explores themes of digital communication and modern technology through minimalist, synth-driven soundscapes.
-
D.
The Cafe
The Cafe is a casual dining spot where people can relax, socialize, and enjoy beverages and light meals.
-
E.
Border Cafe
"Border Cafe" is a 1937 American Western film featuring Marjorie Lord in one of her early screen roles.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0b0da0819098ef03360eea6a0d |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.