Triple
T17444289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Zipzer book series |
E424739
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Henry Winkler |
—
|
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: Henry Winkler | Statement: [Hank Zipzer book series, author, Henry Winkler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Winkler Context triple: [Hank Zipzer book series, author, Henry Winkler]
-
A.
Henry Winkler
chosen
Henry Winkler is an American actor, director, and producer best known for his iconic role as "The Fonz" on the classic television sitcom Happy Days.
-
B.
Dennis Feldman
Dennis Feldman is an American screenwriter and photographer best known for writing genre films such as "The Golden Child" and "Species."
-
C.
Peter Billingsley
Peter Billingsley is an American actor, director, and producer best known for his childhood role as Ralphie in the classic holiday film "A Christmas Story."
-
D.
John Ritter
John Ritter was an American actor and comedian best known for his role as Jack Tripper on the hit sitcom "Three's Company."
-
E.
Bill Pardy
Bill Pardy is the wisecracking small-town sheriff and reluctant hero in the horror-comedy film "Slither."
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.