Triple
T20759336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Video Game Hall of Fame |
E510931
|
entity |
| Predicate | hasFirstInductionYear |
P107566
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [World Video Game Hall of Fame, hasFirstInductionYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstInductionYear Context triple: [World Video Game Hall of Fame, hasFirstInductionYear, 2015]
-
A.
associatedWithInductionYear
chosen
Indicates that an entity is linked to a specific year in which an induction (such as into a group, hall of fame, or organization) took place.
-
B.
hasInductionSchedule
Indicates that an entity is associated with a defined plan or timetable for its induction or onboarding process.
-
C.
hasInductionCeremony
Indicates that an entity conducts or is associated with a formal induction ceremony marking the official admission of individuals into a group, role, or organization.
-
D.
firstYearAsMajor
Indicates the year in which an entity first attained major status or classification.
-
E.
undergraduateDegreeYear
Indicates the year in which an entity obtained or completed their undergraduate degree.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24751688190829f9d836abfb606 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.