Triple
T21846526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nm0855039 |
E539388
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jon Tenney |
—
|
NE NERFINISHED |
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: Jon Tenney | Statement: [nm0855039, name, Jon Tenney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Tenney Context triple: [nm0855039, name, Jon Tenney]
-
A.
Jon Tenney
chosen
Jon Tenney is an American actor best known for his role as FBI Special Agent Fritz Howard on the television crime drama series "The Closer."
-
B.
John O’Hurley
John O’Hurley is an American actor, comedian, and television personality best known for his role as J. Peterman on "Seinfeld" and for hosting various game and reality shows.
-
C.
Allen Ludden
Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
-
D.
John Colbert
John Colbert is one of the children of American comedian and television host Stephen Colbert and his wife Evelyn McGee-Colbert.
-
E.
Hugh Bennett
Hugh Bennett was an American film editor active during Hollywood's studio era, known for his work on numerous feature films in the 1930s and 1940s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd546fb48190a7b815233650c2e7 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.