Triple
T20232770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Win, Lose or Draw |
E495569
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Bert Convy |
—
|
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: Bert Convy | Statement: [Win, Lose or Draw, creator, Bert Convy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Convy Context triple: [Win, Lose or Draw, creator, Bert Convy]
-
A.
Bert Convy
chosen
Bert Convy was an American actor, singer, and game show host best known for hosting the television game show "Tattletales" in the 1970s.
-
B.
Tom Bosley
Tom Bosley was an American actor best known for playing the warm, paternal Howard Cunningham on the classic television sitcom "Happy Days."
-
C.
Bill Farmer
Bill Farmer is an American voice actor best known for voicing Disney characters such as Goofy and Pluto.
-
D.
Jules Asner
Jules Asner is an American television personality, former model, and entertainment journalist known for hosting programs on E! and other networks.
-
E.
Wally Cox
Wally Cox was an American actor and comedian best known for his mild-mannered, bespectacled persona in film and television during the mid-20th century.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67166d4d081908c4b8eeb66e7e090 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.