Triple
T33536807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinness World Record for most ported video game |
E858956
|
entity |
| Predicate | holderGameTitle |
P46681
|
FINISHED |
| Object | Tetris |
—
|
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: Tetris | Statement: [Guinness World Record for most ported video game, holderGameTitle, Tetris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderGameTitle Context triple: [Guinness World Record for most ported video game, holderGameTitle, Tetris]
-
A.
hasGameTitle
Indicates that an entity is associated with or identified by a specific game title.
-
B.
gameTitle
chosen
Indicates the name or title assigned to a particular game in the relationship.
-
C.
inGameName
Indicates that one entity is the name used by another entity within a specific game context.
-
D.
titleGameScore
Indicates the score or result achieved in a specific game or match associated with a title or competition.
-
E.
nationalTitleGame
Indicates that an entity participates in or is associated with a national championship title game.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.