Triple
T7418658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama Said |
E171188
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Slash |
E199069
|
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: Slash | Statement: [Mama Said, performer, Slash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slash Context triple: [Mama Said, performer, Slash]
-
A.
Slash
chosen
Slash is a renowned rock guitarist best known as the lead guitarist of Guns N' Roses, celebrated for his iconic riffs and top-hatted stage persona.
-
B.
Jet
Jet is an American weekly magazine that historically focused on news, culture, and entertainment relevant to the African American community.
-
C.
Jet
"Jet" is a popular song by Paul McCartney and Wings, known for its upbeat rock sound and prominent use of horns.
-
D.
Jet
Jet is an Australian rock band best known for their early-2000s garage rock revival sound and hits like "Are You Gonna Be My Girl."
-
E.
Sal
Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef30ee88190a484f4b735913676 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.