Triple
T20192513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Fox team |
E493008
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Krystal |
—
|
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: Krystal | Statement: [Star Fox team, member, Krystal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krystal Context triple: [Star Fox team, member, Krystal]
-
A.
Krystal
chosen
Krystal is a feminine given name, typically considered a modern variant of the name Crystal.
-
B.
Krystal Vee
Krystal Vee is a Thai actress and model best known internationally for her role in the fantasy action film "The Scorpion King 3: Battle for Redemption."
-
C.
Krystal Kris
Krystal Kris is a fictional character portrayed by Iris Apatow, likely in a comedic or dramatic screen role.
-
D.
Chrystal
Chrystal is a given name, typically a variant spelling of Crystal, used primarily as a feminine first name.
-
E.
Krista
Krista is a feminine given name, typically considered a variant of Christina and used in various European and English-speaking countries.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad654648190a27521e6e8ea40c5 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.