Triple
T22598318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansion Musik |
E574743
|
entity |
| Predicate | hasGuestAppearance |
P4920
|
FINISHED |
| Object | Rob49 |
—
|
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: Rob49 | Statement: [Mansion Musik, hasGuestAppearance, Rob49]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob49 Context triple: [Mansion Musik, hasGuestAppearance, Rob49]
-
A.
Rob49
chosen
Rob49 is an American rapper from New Orleans known for his gritty street-focused lyrics and rising presence in contemporary hip-hop.
-
B.
ROB
ROB is the IATA airport code for Roberts International Airport, the main international gateway to Liberia.
-
C.
Robby
Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
-
D.
Rōben
Rōben was an influential 8th-century Japanese Buddhist monk of the Kegon school, known for helping establish major temples such as Tōdai-ji and shaping early Nara Buddhism.
-
E.
Robo
Robo is a friendly, time-traveling robot companion and party member in the classic role-playing game Chrono Trigger.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626aa0808190a43e65f6aaabfeb4 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.