Triple
T12893275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Moscow as young Josh Baskin |
E308421
|
entity |
| Predicate | castingRelation |
P47184
|
FINISHED |
| Object | youngerCounterpartToTomHanks |
—
|
LITERAL FINISHED |
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: youngerCounterpartToTomHanks | Statement: [David Moscow as young Josh Baskin, castingRelation, youngerCounterpartToTomHanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castingRelation Context triple: [David Moscow as young Josh Baskin, castingRelation, youngerCounterpartToTomHanks]
-
A.
characterActorRelationship
chosen
Indicates a relationship where an actor portrays or is associated with a specific character in a work.
-
B.
cast
Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
-
C.
directorSpouseInCast
Indicates that a film’s director is married to someone who appears as a cast member in that same film.
-
D.
associatedWithDirectorCharacter
Indicates a relationship where something is linked to or connected with a director character, typically signifying involvement, relevance, or attribution to that director character.
-
E.
castingReason
Indicates the reason or justification for selecting or assigning a particular entity (e.g., a person or object) to a specific role, function, or category.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.