Triple
T34238907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quintet |
E878406
|
entity |
| Predicate | hasBoardGameInPlot |
P105753
|
FINISHED |
| Object | Quintet (fictional game) |
—
|
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: Quintet (fictional game) | Statement: [Quintet, hasBoardGameInPlot, Quintet (fictional game)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoardGameInPlot Context triple: [Quintet, hasBoardGameInPlot, Quintet (fictional game)]
-
A.
hasBoardGameplay
Indicates that an entity involves or features gameplay that takes place on or around a game board.
-
B.
hasBoardGameAdaptation
Indicates that something has been adapted into a board game based on it.
-
C.
playsInGame
Indicates that an entity participates as a player in a particular game or match.
-
D.
hasAdventurePlot
Indicates that a work’s storyline centers on an adventure, typically involving exciting, risky, or exploratory events and journeys.
-
E.
hasPlot
chosen
Indicates that an entity (such as a narrative work) possesses or is associated with a specific storyline or sequence of events.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: May 1, 2026, 1:56 a.m.