Triple
T985223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Antosha |
E21262
|
entity |
| Predicate | featuresInterviewee |
P17405
|
FINISHED |
| Object | John Cho |
E115973
|
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: John Cho | Statement: [Love, Antosha, featuresInterviewee, John Cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cho Context triple: [Love, Antosha, featuresInterviewee, John Cho]
-
A.
John Cho
chosen
John Cho is a Korean American actor best known for his roles in the "Harold & Kumar" comedy series and as Hikaru Sulu in the rebooted "Star Trek" film franchise.
-
B.
Ken Jeong
Ken Jeong is an American comedian, actor, and licensed physician best known for his roles in "The Hangover" film series and the TV show "Community."
-
C.
Ke Huy Quan
Ke Huy Quan is a Vietnamese-American actor and former child star best known for his comeback role in "Everything Everywhere All at Once," which earned him widespread critical acclaim and major awards.
-
D.
Jamie Chen
Jamie Chen is known as the spouse of Steve Chen, the co-founder of YouTube.
-
E.
Christopher Frank Carandini Lee
Christopher Frank Carandini Lee was an English actor and singer best known for his iconic roles in horror films as Count Dracula and in major franchises such as The Lord of the Rings and Star Wars.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b75103688190a14342eef3842984 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a14aec48190bc620cf492a82466 |
completed | March 7, 2026, 1:37 p.m. |
Created at: March 1, 2026, 7:41 p.m.