Triple
T11752705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalen DeBoer |
E279446
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kalen |
E576895
|
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: Kalen | Statement: [Kalen DeBoer, givenName, Kalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalen Context triple: [Kalen DeBoer, givenName, Kalen]
-
A.
Kayl
Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
-
B.
Kelan
chosen
Kelan is a masculine given name used in various English-speaking countries, sometimes considered a modern variant of names like Kellen or Keelan.
-
C.
Ben Kalina
Ben Kalina is a film and television producer known for his work on animated comedy projects, including the feature "Beavis and Butt-Head Do the Universe."
-
D.
Ayden
Ayden is a modern given name, typically used for boys, that is a spelling variant of the name Aidan.
-
E.
Keally
Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a13550081909a26f57b30d68e03 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.