Triple
T20983351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We'll Make It |
E516823
|
entity |
| Predicate | hasInGameCategory |
P142353
|
FINISHED |
| Object | altruism perk |
—
|
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: altruism perk | Statement: [We'll Make It, hasInGameCategory, altruism perk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInGameCategory Context triple: [We'll Make It, hasInGameCategory, altruism perk]
-
A.
hasInGameItemType
Indicates that an entity possesses or is associated with a specific type or category of in-game item.
-
B.
hasInGameActivities
Indicates that an entity includes or offers specific activities or actions that can be performed within a game context.
-
C.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
D.
hasCompetitionCategory
Indicates that an entity is associated with a specific category or division within a competition.
-
E.
playableInGame
Indicates that something can be used or controlled as an active element within a particular game.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe03244819097630333e70c4e88 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:48 p.m.