Triple
T36386134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Turismo |
E896198
|
entity |
| Predicate | hasVideoGameTieIn |
P194336
|
FINISHED |
| Object | Gran Turismo video game 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: Gran Turismo video game series | Statement: [Gran Turismo, hasVideoGameTieIn, Gran Turismo video game series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVideoGameTieIn Context triple: [Gran Turismo, hasVideoGameTieIn, Gran Turismo video game series]
-
A.
hasMerchandiseTieIn
Indicates that one entity has a commercial or promotional product or line (merchandise) that is directly tied to, branded with, or derived from another entity.
-
B.
hasSpinOffTieIns
Indicates that one entity has related derivative works or products that are spin-offs tied to another entity.
-
C.
bookTieIn
Indicates that one creative work is directly related to another as a tie-in, typically produced to promote, expand, or accompany the original work (such as a book based on a film, game, or TV series).
-
D.
hasGenreInVideoGameAdaptations
Indicates that a work is associated with a specific genre specifically in the context of its video game adaptations.
-
E.
hasMediaFranchise
Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
- F. None of above. chosen
Provenance (4 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
| PDg | Predicate description generation | batch_69fd6a1a38f081908c573aee4696de4f |
completed | May 8, 2026, 4:44 a.m. |
Created at: May 3, 2026, 4:10 p.m.