Triple
T37462493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Kaleidosaur |
E930952
|
entity |
| Predicate | rewardMinionMechanic |
P191406
|
FINISHED |
| Object | Adapt |
—
|
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: Adapt | Statement: [The Last Kaleidosaur, rewardMinionMechanic, Adapt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rewardMinionMechanic Context triple: [The Last Kaleidosaur, rewardMinionMechanic, Adapt]
-
A.
rewardMinionName
Indicates that a reward is associated with, or granted to, a specific minion identified by name.
-
B.
summonedMinionCost
Indicates the resource cost required to summon a minion in the given context.
-
C.
summonedMinionType
Indicates that one entity has summoned or created another entity specifically as a minion of a given type.
-
D.
minCostOfDrawnMinions
Indicates the minimum resource cost among all minions that have been drawn.
-
E.
rewardMechanism
Indicates a relationship where an entity provides or defines a system of incentives or compensation in response to certain actions, behaviors, or outcomes.
- 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_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:17 p.m.