Triple
T14955604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Koechner |
E372916
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Koechner |
E372916
|
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: David Koechner | Statement: [David Koechner, name, David Koechner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Koechner Context triple: [David Koechner, name, David Koechner]
-
A.
David Koechner
chosen
David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
-
B.
Adam DeVine
Adam DeVine is an American actor, comedian, and writer best known for co-creating and starring in the sitcom "Workaholics" and for his roles in the "Pitch Perfect" film series and various comedy television shows.
-
C.
Rob Riggle
Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
-
D.
Kevin Allen
Kevin Allen is a British actor and director known for his work in film and television, including directing the cult comedy "Twin Town."
-
E.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dc2ad1c8190a811bb0c20643309 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 2:40 a.m.