Triple
T3121208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Levine |
E65187
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ted Levine |
E65187
|
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: Ted Levine | Statement: [Ted Levine, name, Ted Levine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Levine Context triple: [Ted Levine, name, Ted Levine]
-
A.
Ted Levine
chosen
Ted Levine is an American character actor best known for his chilling portrayal of serial killer Buffalo Bill in the film "The Silence of the Lambs."
-
B.
David Soren
David Soren is a Canadian filmmaker and animator best known for directing the animated feature film "Captain Underpants: The First Epic Movie."
-
C.
Chris Roberts
Chris Roberts is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
-
D.
Ken Sim
Ken Sim is a Canadian politician and entrepreneur who serves as the current mayor of Vancouver, known for being the city's first Chinese-Canadian mayor.
-
E.
Mike Schafer
Mike Schafer is a longtime head coach of the Cornell Big Red men's ice hockey team, known for leading the program to sustained success and multiple NCAA tournament appearances.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5295cd481908d52e165538c67fa |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f6bc644819093a7cab7220f4ca0 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.