Triple
T37662203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Husk (Minecraft) |
E937740
|
entity |
| Predicate | canSpawnReinforcements |
P191139
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Husk (Minecraft), canSpawnReinforcements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSpawnReinforcements Context triple: [Husk (Minecraft), canSpawnReinforcements, true]
-
A.
canSpawnWith
Indicates that one entity is able to appear, be created, or originate in conjunction with another entity under the same conditions or context.
-
B.
canSpawnCondition
Indicates that the ability to spawn or be generated is dependent on a specific condition being met.
-
C.
canSpawnWithEquipment
Indicates that an entity is able to appear or be created already equipped with items or gear.
-
D.
hasReserveForces
Indicates that an entity possesses additional military or security personnel kept in reserve for potential future deployment or use.
-
E.
canBeRecruitedFrom
Indicates that one entity is eligible to be recruited, obtained, or enlisted starting from or via another specified entity or source.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: May 3, 2026, 4:18 p.m.