Triple
T13750371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byung-hun Lee |
E330333
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Red 2 |
E238903
|
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: Red 2 | Statement: [Byung-hun Lee, notableWork, Red 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red 2 Context triple: [Byung-hun Lee, notableWork, Red 2]
-
A.
Red 2
chosen
Red 2 is an action-comedy film and sequel to Red, featuring a team of retired black-ops agents drawn back into high-stakes espionage.
-
B.
Red 1
Red 1 is the callsign used by the team leader of the Royal Air Force's Red Arrows aerobatic display team.
-
C.
Case Red
Case Red was the German military plan for the second phase of the 1940 Western offensive, focusing on the rapid defeat and occupation of the remaining French forces after the initial breakthrough.
-
D.
The Red Parts
The Red Parts is Maggie Nelson’s genre-blending memoir and true-crime meditation that examines her aunt’s decades-old murder case alongside themes of grief, justice, and family history.
-
E.
R.E.D.
R.E.D. is a studio album by American singer-songwriter Ne-Yo that blends R&B, pop, and dance influences.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02148c208190a882927905a861a6 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8560614819085958205637f3863 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.