Triple
T2995446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veronica Mars |
E81053
|
entity |
| Predicate | hasSpinOffMedium |
P7226
|
FINISHED |
| Object | feature film |
—
|
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: feature film | Statement: [Veronica Mars, hasSpinOffMedium, feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpinOffMedium Context triple: [Veronica Mars, hasSpinOffMedium, feature film]
-
A.
hasSpinOff
chosen
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
B.
hasMediaFranchise
Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
-
C.
spinoffRelation
Indicates a relationship where one entity originates as a derivative, offshoot, or spin-off from another entity.
-
D.
spinoffAppearance
Indicates that an entity appears in a derivative or spinoff work related to another original work or series.
-
E.
spinOffSeriesDebutYear
Indicates the calendar year in which a spin-off series first premiered or debuted.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f2e5888190b3346012e2578dab |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.