Triple
T10753072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KrisWorld |
E253618
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | KrisWorld |
E253618
|
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: KrisWorld | Statement: [KrisWorld, branding, KrisWorld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KrisWorld Context triple: [KrisWorld, branding, KrisWorld]
-
A.
KrisWorld
chosen
KrisWorld is Singapore Airlines’ proprietary in-flight entertainment system offering passengers a wide selection of movies, TV shows, music, and games.
-
B.
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.
-
C.
Kris
Kris is a novel by Swedish author Karin Boye, known for its introspective exploration of identity, faith, and inner conflict.
-
D.
Kris (talk show)
Kris (talk show) was a short-lived daytime talk show hosted by Kris Jenner that featured celebrity interviews, lifestyle segments, and family appearances.
-
E.
KRST
KRST is the ICAO airport code for Rochester International Airport in Rochester, Minnesota, United States.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc2543c8190bb060aa7a1fed6a6 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdb897f7c81909002f2478613eff8 |
completed | April 12, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:15 p.m.