Triple
T13667380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kris Marshall |
E327655
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kris |
E327655
|
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 | Statement: [Kris Marshall, givenName, Kris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kris Context triple: [Kris Marshall, givenName, Kris]
-
A.
Kris
Kris is a novel by Swedish author Karin Boye, known for its introspective exploration of identity, faith, and inner conflict.
-
B.
Kris
chosen
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.
-
C.
Krys
Krys is a given name that functions as an alternative spelling of the name Chris.
-
D.
Cris
Cris is the first name of Cris Collinsworth, a former NFL wide receiver and prominent American football television broadcaster.
-
E.
Kris Thykier
Kris Thykier is a British film and television producer known for working on projects such as "Kick-Ass," "The Debt," and various high-profile UK and international productions.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0cfe0c8190b0fe50931e9788cf |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.