Triple
T15973640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristopher Humphries |
E387383
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Kris Humphries |
E83334
|
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: Kris Humphries | Statement: [Kristopher Humphries, nickname, Kris Humphries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kris Humphries Context triple: [Kristopher Humphries, nickname, Kris Humphries]
-
A.
Kris Humphries
chosen
Kris Humphries is an American former professional basketball player best known for his NBA career and highly publicized short-lived marriage to Kim Kardashian.
-
B.
Kit Hughes
Kit Hughes is a collegiate sports administrator who serves as the athletic director for the College of the Holy Cross’s Crusaders athletic program.
-
C.
Lindsay Crosby
Lindsay Crosby was an American actor and singer best known as one of Bing Crosby’s sons who performed in the family’s musical acts and appeared in film and television.
-
D.
Ashley Gilmour
Ashley Gilmour is a stage actor best known for performing in musical theatre productions, including the role of Éponine in Les Misérables.
-
E.
Casey Siemaszko
Casey Siemaszko is an American actor best known for his roles in films such as "Back to the Future," "Stand by Me," and "Young Guns."
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572b667c8190b28d0556e45422bb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8ce7788190a3e0aefc9a29d58a |
completed | May 9, 2026, 11:09 p.m. |
Created at: April 10, 2026, 4:54 a.m.