Triple
T984872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Room |
E21255
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Pat Yelchin |
E3122
|
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: Pat Yelchin | Statement: [Green Room, character, Pat Yelchin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat Yelchin Context triple: [Green Room, character, Pat Yelchin]
-
A.
Riley Grazer
Riley Grazer is a child of acclaimed American film and television producer Brian Grazer.
-
B.
Asher Angel
Asher Angel is an American actor and singer best known for his role as Billy Batson in the DC superhero film "Shazam!" and its sequel.
-
C.
Noah Keen
Noah Keen was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1990s.
-
D.
Anton Yelchin
chosen
Anton Yelchin was a Russian-American actor best known for playing Pavel Chekov in the rebooted Star Trek film series and for his acclaimed performances in independent movies before his untimely death in 2016.
-
E.
Caleb McLaughlin
Caleb McLaughlin is an American actor best known for playing Lucas Sinclair in the Netflix science-fiction horror series "Stranger Things."
- 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_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c0bda208190b10b238a30466ea6 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.