Triple
T13778336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chernobyl |
E331069
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Adam Nagaitis |
E421852
|
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: Adam Nagaitis | Statement: [Chernobyl, stars, Adam Nagaitis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Nagaitis Context triple: [Chernobyl, stars, Adam Nagaitis]
-
A.
Adam Nagaitis
chosen
Adam Nagaitis is a British actor known for his intense character roles in high-profile television dramas and films.
-
B.
Joel McHale
Joel McHale is an American actor, comedian, and television host best known for leading the satirical series "The Soup" and starring on the sitcom "Community."
-
C.
Daniel Tosh
Daniel Tosh is an American stand-up comedian, television host, and actor best known for his dark, edgy humor and hosting the Comedy Central series "Tosh.0."
-
D.
Nate Corddry
Nate Corddry is an American actor and comedian known for his television work, including prominent roles in series such as "Studio 60 on the Sunset Strip" and "Mom."
-
E.
Paul F. Tompkins
Paul F. Tompkins is an American comedian, actor, and writer known for his stand-up, podcast appearances, and character roles in television and film.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07460c081908b3836a3ec382961 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.