Triple
T20029348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happythankyoumoreplease |
E495079
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Josh Radnor |
—
|
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: Josh Radnor | Statement: [Happythankyoumoreplease, screenwriter, Josh Radnor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Radnor Context triple: [Happythankyoumoreplease, screenwriter, Josh Radnor]
-
A.
Josh Radnor
chosen
Josh Radnor is an American actor, director, and writer best known for playing Ted Mosby on the television sitcom "How I Met Your Mother."
-
B.
Simon Helberg
Simon Helberg is an American actor and comedian best known for playing aerospace engineer Howard Wolowitz on the hit sitcom "The Big Bang Theory."
-
C.
Greg Galifianakis
Greg Galifianakis is the brother of comedian and actor Zach Galifianakis, known primarily for his connection to the entertainer’s family.
-
D.
Mark Kunis
Mark Kunis is the father of actress Mila Kunis, known publicly mainly through his relationship to his famous daughter.
-
E.
Michael Urie
Michael Urie is an American actor best known for his role as Marc St. James on the television series "Ugly Betty" and for his extensive work in theater and film.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.