Triple
T21204067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mart Laar |
E522531
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mart |
—
|
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: Mart | Statement: [Mart Laar, givenName, Mart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mart Context triple: [Mart Laar, givenName, Mart]
-
A.
Mart
chosen
Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
-
B.
Mart
Mart is a prominent modern and contemporary art museum based in Rovereto, Italy, known for its extensive collections and cultural programming.
-
C.
Mer
Mer is a small coral island in the eastern Torres Strait of Australia, known as the home of the Meriam people and central to the landmark native title case brought by Eddie Mabo.
-
D.
Mer
Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
-
E.
Mate
Mate is a Croatian entrepreneur and engineer best known as the founder and CEO of electric hypercar manufacturer Rimac Automobili.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7343367308190b1b772d3c8e25dcb |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:19 p.m.