Triple
T32707686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pteranodon |
E836316
|
entity |
| Predicate | mediaFranchiseAppearance |
P170420
|
FINISHED |
| Object | Jurassic Park series |
—
|
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: Jurassic Park series | Statement: [Pteranodon, mediaFranchiseAppearance, Jurassic Park series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaFranchiseAppearance Context triple: [Pteranodon, mediaFranchiseAppearance, Jurassic Park series]
-
A.
mediaFranchiseRepresentation
chosen
Indicates that one entity serves as a representation, installment, or component work within a broader media franchise associated with another entity.
-
B.
mediaFranchiseDerivedFrom
Indicates that one media franchise originates from, is based on, or was developed from another pre-existing work or franchise.
-
C.
filmAppearanceType
Indicates the type or nature of a subject’s appearance in a film, such as a role, cameo, or other participation category.
-
D.
mediaFranchiseType
Indicates the specific kind or category of media franchise that an entity belongs to (e.g., film series, TV franchise, game franchise).
-
E.
franchiseCameo
Indicates that an entity makes a brief appearance or reference within a work that belongs to a particular franchise or series.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: May 1, 2026, 1:10 a.m.