Triple
T2966748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler Labine |
E80184
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Tyler Sean Labine |
E80184
|
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: Tyler Sean Labine | Statement: [Tyler Labine, birthName, Tyler Sean Labine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyler Sean Labine Context triple: [Tyler Labine, birthName, Tyler Sean Labine]
-
A.
Tyler Labine
chosen
Tyler Labine is a Canadian actor and comedian known for his roles in television series like "Reaper" and "Deadbeat" and films such as "Tucker & Dale vs. Evil."
-
B.
Ethan Embry
Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
-
C.
Alexis Denisof
Alexis Denisof is an American actor best known for his role as Wesley Wyndam-Pryce in the television series "Buffy the Vampire Slayer" and its spin-off "Angel."
-
D.
Joshua Jackson
Joshua Jackson is a Canadian actor best known for his roles in the television series "Dawson's Creek," "Fringe," and "The Affair."
-
E.
Wes Bentley
Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad996e93788190ba9883714d4dfa0c |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de9657648190a7f0309065f80728 |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 8, 2026, 2:58 p.m.