Triple
T18504707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kid 'n Play |
E452168
|
entity |
| Predicate | hasFilmFranchiseRole |
P25662
|
FINISHED |
| Object | House Party protagonists |
—
|
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: House Party protagonists | Statement: [Kid 'n Play, hasFilmFranchiseRole, House Party protagonists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmFranchiseRole Context triple: [Kid 'n Play, hasFilmFranchiseRole, House Party protagonists]
-
A.
portrayedInFranchise
Indicates that an entity is depicted as a character or element within a specific media franchise.
-
B.
hasDirectedCharacterFranchise
Indicates that a person has directed one or more works belonging to a particular character-centered franchise.
-
C.
hasFictionalRole
chosen
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
-
D.
hasMediaFranchise
Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
-
E.
hasFictionalFilmWithinPlay
Indicates that within a theatrical play, there is a fictional film that exists or is depicted as part of the play’s narrative or structure.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341063c81908361b0eb78794145 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.