Triple
T2556992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jens Bergensten |
E56750
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
jeb_
jeb_ is the online alias of Jens Bergensten, the Swedish game designer best known for leading development of the sandbox game Minecraft.
|
E277063
|
NE FINISHED |
How this triple was built (4 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, nickname, jeb_]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: jeb_ Context triple: [Jens Bergensten, nickname, jeb_]
-
A.
RJBE
RJBE is the ICAO airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
-
B.
Jebba
Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
-
C.
JB
JB is the standard abbreviation for the Jerusalem Bible, a widely used English translation of the Catholic Bible first published in the 1960s.
-
D.
JEC
JEC is a bipartisan U.S. congressional committee that analyzes economic conditions and advises Congress on economic policy.
-
E.
Jamnik
Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: jeb_ Triple: [Jens Bergensten, nickname, jeb_]
Generated description
jeb_ is the online alias of Jens Bergensten, the Swedish game designer best known for leading development of the sandbox game Minecraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: jeb_ Target entity description: jeb_ is the online alias of Jens Bergensten, the Swedish game designer best known for leading development of the sandbox game Minecraft.
-
A.
RJBE
RJBE is the ICAO airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
-
B.
Jebba
Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
-
C.
JB
JB is the standard abbreviation for the Jerusalem Bible, a widely used English translation of the Catholic Bible first published in the 1960s.
-
D.
JEC
JEC is a bipartisan U.S. congressional committee that analyzes economic conditions and advises Congress on economic policy.
-
E.
Jamnik
Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
- F. None of above. chosen
Provenance (5 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd310b3a48190b275be13eb050e57 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d1d937c8190ac6b7bb405a49c3c |
completed | March 9, 2026, 11:51 p.m. |
| NEDg | Description generation | batch_69af5dc7ef4c81908581716c07dcae47 |
completed | March 9, 2026, 11:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e66a39c81909a49c272cd595c84 |
completed | March 9, 2026, 11:57 p.m. |
Created at: March 6, 2026, 9:48 p.m.