Triple
T11658269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jens Bergensten |
E277062
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | jeb_ |
E277063
|
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: jeb_ | Statement: [Jens Bergensten, alias, jeb_]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: jeb_ Context triple: [Jens Bergensten, alias, jeb_]
-
A.
jeb_
chosen
jeb_ is the online alias of Jens Bergensten, the Swedish game designer best known for leading development of the sandbox game Minecraft.
-
B.
@jeb_
@jeb_ is the online handle of Jens Bergensten, the Swedish video game designer best known as the lead developer of Minecraft.
-
C.
JBAB
JBAB is the commonly used abbreviation for Joint Base Anacostia–Bolling, a major U.S. military installation located in Washington, D.C.
-
D.
Jebe
Jebe was one of Genghis Khan’s most brilliant generals, renowned for his daring cavalry campaigns and key role in the early Mongol conquests across Central Asia and into Eastern Europe.
-
E.
JEK
JEK is the station code for Jenkintown–Wyncote, a major SEPTA Regional Rail hub in the northern suburbs of Philadelphia.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee882148a08190a1a8c16d8cb7e48a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.