Triple
T11243475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lennart |
E266135
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Lennert |
E673512
|
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: Lennert | Statement: [Lennart, hasVariantSpelling, Lennert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lennert Context triple: [Lennart, hasVariantSpelling, Lennert]
-
A.
Lennertz
Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
-
B.
Leendert
chosen
Leendert is a Dutch masculine given name, notably borne by mathematician Bartel Leendert van der Waerden.
-
C.
Roy Leenig
Roy Leenig was a prominent American college basketball coach best known for his successful tenure leading the Holy Cross Crusaders men's basketball program.
-
D.
Lourens
Lourens is a given name derived from the Latin name Laurentius, commonly used in Dutch and Afrikaans contexts.
-
E.
Leonardo Zeevaert
Leonardo Zeevaert was a prominent Mexican civil and structural engineer renowned for pioneering earthquake-resistant design and foundation engineering in Mexico.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad849f70819098a7056fbc4831ff |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 8, 2026, 9:30 p.m.