Triple
T14382439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choi "HuHi" Jae-hyun |
E356635
|
entity |
| Predicate | teamHistory |
P84614
|
FINISHED |
| Object | Echo Fox |
E1092949
|
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: Echo Fox | Statement: [Choi "HuHi" Jae-hyun, teamHistory, Echo Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echo Fox Context triple: [Choi "HuHi" Jae-hyun, teamHistory, Echo Fox]
-
A.
Festivoix
Festivoix is an annual music and arts festival held in Trois-Rivières, Quebec, featuring a diverse lineup of performances across multiple stages.
-
B.
Rooster Teeth
Rooster Teeth is an American digital media and entertainment company best known for its web series, animation (including Red vs. Blue and RWBY), and online community-driven content.
-
C.
FlyQuest
chosen
FlyQuest is a North American esports organization best known for fielding competitive League of Legends teams in the LCS.
-
D.
Mumble
Mumble is the tap-dancing emperor penguin protagonist of the animated film "Happy Feet."
-
E.
Loggos
Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900d28c88190a37feee4743563de |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5a7ab4819090ad0ba45f4ddba9 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:16 a.m.