Triple
T30032444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch Me If You Can |
E763057
|
entity |
| Predicate | originalBroadwayCarlHanrattyActor |
P4737
|
FINISHED |
| Object | Norbert Leo Butz |
—
|
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: Norbert Leo Butz | Statement: [Catch Me If You Can, originalBroadwayCarlHanrattyActor, Norbert Leo Butz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadwayCarlHanrattyActor Context triple: [Catch Me If You Can, originalBroadwayCarlHanrattyActor, Norbert Leo Butz]
-
A.
originalBroadwayCaptainActor
Indicates that the subject is the actor who originally played the role of the ship’s captain in a Broadway production.
-
B.
originalBroadwayDaveyActor
Indicates that the subject is the actor who played the role of Davey in the original Broadway production.
-
C.
broadwayLeadActor
Indicates that the subject is the principal or starring actor in a Broadway production associated with the object.
-
D.
originalBroadwayStar
chosen
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
E.
portrayedInBroadwayProductionBy
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
- F. None of above.
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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0004582bb08190b8d0b88251e8d333 |
completed | May 10, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a0003e3e5588190933beea5fb28f150 |
completed | May 10, 2026, 4:04 a.m. |
Created at: April 29, 2026, 6:50 p.m.