Triple
T15999565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GD-ROM |
E388059
|
entity |
| Predicate | primarySuccessorInIndustry |
P99601
|
FINISHED |
| Object | DVD-based game distribution |
—
|
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: DVD-based game distribution | Statement: [GD-ROM, primarySuccessorInIndustry, DVD-based game distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySuccessorInIndustry Context triple: [GD-ROM, primarySuccessorInIndustry, DVD-based game distribution]
-
A.
successorIndustryName
chosen
Indicates the name of the industry that succeeds or replaces a previous industry in a sequence or transition.
-
B.
successorInMarket
Indicates that one entity has taken over or followed another in serving the same market or customer base.
-
C.
successorInPractice
Indicates that one entity has taken over the role, position, or function of another in actual practice, even if not formally or officially designated as its successor.
-
D.
hasSecondaryIndustry
Indicates that an entity is associated with an additional, non-primary industry in which it operates or participates.
-
E.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.