Triple
T4439938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byte |
E95745
|
entity |
| Predicate | hasCreator |
P806
|
FINISHED |
| Object | Dom Hofmann |
E214598
|
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: Dom Hofmann | Statement: [Byte, hasCreator, Dom Hofmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dom Hofmann Context triple: [Byte, hasCreator, Dom Hofmann]
-
A.
Dom Hofmann
chosen
Dom Hofmann is an American entrepreneur and software developer best known as a co-founder of the short-form video platform Vine and later for creating the NFT project Loot.
-
B.
Raoul Hausmann
Raoul Hausmann was an Austrian-born artist and writer best known as a leading figure of the Berlin Dada movement, pioneering photomontage and experimental sound poetry.
-
C.
Max Hoffmann
Max Hoffmann was a German general and strategist in World War I, noted for his key role on the Eastern Front and in shaping the harsh peace terms imposed on Soviet Russia.
-
D.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
-
E.
Lars Hirschfeld
Lars Hirschfeld is a Canadian former professional goalkeeper who represented Canada’s national soccer team and played for clubs in Europe and North America.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137b97748190b8ebecaf590baad3 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.