Triple
T14285345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Máté |
E354156
|
entity |
| Predicate | hasEnglishTransliteration |
P2508
|
FINISHED |
| Object | Mate |
E735121
|
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: Mate | Statement: [Máté, hasEnglishTransliteration, Mate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mate Context triple: [Máté, hasEnglishTransliteration, Mate]
-
A.
Mate
chosen
Mate is a Croatian entrepreneur and engineer best known as the founder and CEO of electric hypercar manufacturer Rimac Automobili.
-
B.
Mart
Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
-
C.
Neil
Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
-
D.
Neil
Neil is a central character in Mary Higgins Clark's suspense novel "A Stranger Is Watching," around whom much of the kidnapping and tension-filled plot revolves.
-
E.
Neil
Neil is a character in Helen Fielding’s novel "Cause Celeb," which satirically explores celebrity culture and humanitarian aid.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1c4d988190b595e6a33ef96c28 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:10 a.m.