Triple
T33033957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Domscheit-Berg |
E845251
|
entity |
| Predicate | shortenedName |
P99167
|
FINISHED |
| Object | Daniel Berg |
—
|
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: Daniel Berg | Statement: [Daniel Domscheit-Berg, shortenedName, Daniel Berg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortenedName Context triple: [Daniel Domscheit-Berg, shortenedName, Daniel Berg]
-
A.
commonShortNameFor
chosen
Indicates that one entity is a commonly used short or abbreviated name for another entity.
-
B.
isShortName
Indicates that one name is an abbreviated or shorter form of another name.
-
C.
shortDesignation
Indicates that one entity serves as a brief or abbreviated designation (such as a short name, code, or label) for another entity.
-
D.
shortFormType
Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
-
E.
termShortenedBy
Indicates that one term is a shortened, abbreviated, or truncated form derived from another term.
- F. None of above.
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_69f34951348c8190b56746b0a7018182 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:24 a.m.