Triple
T31390451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerve (2016 film) |
E800716
|
entity |
| Predicate | hasOnlineGameConcept |
P180059
|
FINISHED |
| Object | Nerve game |
—
|
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: Nerve game | Statement: [Nerve (2016 film), hasOnlineGameConcept, Nerve game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineGameConcept Context triple: [Nerve (2016 film), hasOnlineGameConcept, Nerve game]
-
A.
hasGamesAt
Indicates that a particular location, venue, or platform hosts or offers one or more games.
-
B.
hasGameSystem
Indicates that an item, product, or context is associated with or supports a particular game system or rules framework.
-
C.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
D.
hasStandaloneGame
Indicates that an entity has its own independently released, self-contained game associated with it.
-
E.
hasInGameActivities
Indicates that an entity includes or offers specific activities or actions that can be performed within a game context.
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 29, 2026, 9:19 p.m.