Triple
T22399971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kris Peeters |
E553730
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kris |
—
|
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: Kris | Statement: [Kris Peeters, givenName, Kris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kris Context triple: [Kris Peeters, givenName, Kris]
-
A.
Kris
Kris is the given name of English actor Kris Marshall, known for his roles in "Love Actually," "My Family," and various British television dramas and comedies.
-
B.
Kris
Kris is a novel by Swedish author Karin Boye, known for its introspective exploration of identity, faith, and inner conflict.
-
C.
Kris
Kris is an American daytime talk show hosted by Kris Jenner that briefly aired in 2013.
-
D.
Kris
chosen
Kris is a given name commonly used as a short or diminutive form of longer names such as Krista, Kristina, or Kristopher in various languages.
-
E.
Kris
Kris was a top-class British Thoroughbred racehorse of the late 1970s, renowned as one of the best milers of his generation.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b28e58819090624f131ce63a9f |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.