Triple
T37461355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood of The Ancient One |
E930923
|
entity |
| Predicate | boardInteraction |
P190723
|
FINISHED |
| Object | Transforms board state by merging minions |
—
|
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: Transforms board state by merging minions | Statement: [Blood of The Ancient One, boardInteraction, Transforms board state by merging minions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardInteraction Context triple: [Blood of The Ancient One, boardInteraction, Transforms board state by merging minions]
-
A.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
B.
plateInteraction
Indicates an interaction involving a plate, such as using, handling, or otherwise engaging with it in a specific context.
-
C.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
-
D.
boardProperties
Indicates a relationship where specific attributes or characteristics are assigned to or associated with a board.
-
E.
boardPlan
Indicates that an agent gets onto or enters a planned vehicle, vessel, or mode of transport as part of a scheduled journey.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.