Triple
T10057694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klas Östergren |
E208902
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Klas |
E156671
|
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: Klas | Statement: [Klas Östergren, givenName, Klas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klas Context triple: [Klas Östergren, givenName, Klas]
-
A.
Klas
chosen
Klas is a Scandinavian given name, commonly used as a variant of Nicholas.
-
B.
Klass
Klass is a surname most notably associated with Philip J. Klass, an American journalist and prominent UFO skeptic.
-
C.
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
-
D.
KLAS
KLAS is the ICAO airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
-
E.
Klausi
Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfaf7700819084dedf7b63e789c1 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a5d4b308190b5b1ece1ca99be86 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:57 p.m.