Triple
T15121181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Time |
E361175
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | RBMG |
E755469
|
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: RBMG | Statement: [One Time, recordLabel, RBMG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RBMG Context triple: [One Time, recordLabel, RBMG]
-
A.
RBMG
chosen
RBMG is a record label best known for co-founding and launching the career of pop star Justin Bieber.
-
B.
MGK
MGK, better known as George "Machine Gun" Kelly, was a notorious American gangster and Prohibition-era bootlegger famed for his involvement in high-profile kidnappings.
-
C.
MGK
MGK is the acronym for Turkey’s National Security Council, a key state body that advises on and coordinates national security and defense policy.
-
D.
Roc
The Roc is a gigantic mythical bird from Middle Eastern folklore, famed for its immense size and strength, often appearing in tales such as the voyages of Sinbad the Sailor.
-
E.
Roc
Roc is an American television sitcom that aired in the early 1990s, centered on the life of a Baltimore garbage collector and his family.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe3fe0081909d9d3a293373254b |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.