Triple
T22479063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristopher Steven Keach |
E555713
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kristopher |
—
|
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: Kristopher | Statement: [Kristopher Steven Keach, givenName, Kristopher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristopher Context triple: [Kristopher Steven Keach, givenName, Kristopher]
-
A.
Kristopher
chosen
Kristopher is the full given name of Kris Humphries, an American former professional basketball player known for his NBA career and brief marriage to Kim Kardashian.
-
B.
Christoffer
Christoffer is a masculine given name of Scandinavian and Germanic origin, commonly used in Sweden and other Nordic countries.
-
C.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
D.
Jeffrey
"Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
-
E.
Kristopher Carter
Kristopher Carter is an American composer best known for his dynamic, award-winning musical scores for animated superhero television series and films.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be653bc8190a2e5c47e38228bfe |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.