Triple
T340625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Helms |
E6828
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ed Helms |
E6828
|
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: Ed Helms | Statement: [Ed Helms, name, Ed Helms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Helms Context triple: [Ed Helms, name, Ed Helms]
-
A.
Ed Helms
chosen
Ed Helms is an American actor and comedian best known for his roles in the TV series "The Office" and "The Daily Show," as well as "The Hangover" film trilogy.
-
B.
Charlie Day
Charlie Day is an American actor, comedian, writer, and producer best known for his manic, high-energy performances in projects like the sitcom "It's Always Sunny in Philadelphia" and various film comedies.
-
C.
Will Ferrell
Will Ferrell is an American comedian, actor, writer, and producer best known for his work on "Saturday Night Live" and a series of hit comedy films such as "Anchorman" and "Elf."
-
D.
Jim Gaffigan
Jim Gaffigan is an American stand-up comedian and actor known for his observational, family-friendly humor and roles in both film and television.
-
E.
Rick Leary
Rick Leary is a Canadian public transit executive who serves as the chief executive officer of the Toronto Transit Commission, overseeing the city’s bus, streetcar, and subway operations.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae4fcc08190bd4c2bf0149c8b50 |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d4e701408190a13f8c50c1271bb4 |
completed | March 1, 2026, 5:55 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.