Triple
T37661806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nether Star |
E937733
|
entity |
| Predicate | cannotBeDestroyedByCactus |
P100262
|
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: [Nether Star, cannotBeDestroyedByCactus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotBeDestroyedByCactus Context triple: [Nether Star, cannotBeDestroyedByCactus, true]
-
A.
cannotBeDamagedBy
chosen
Indicates that one entity is immune to harm, injury, or degradation caused by another specified entity or factor.
-
B.
cannotDieInHumanSense
Indicates that the entity is not subject to death or mortality in the way humans experience or understand it.
-
C.
cannotBeDefeatedBy
Indicates that one entity is invulnerable to defeat by another specified entity or set of entities.
-
D.
isNotEradicableByHumanToHumanControl
Indicates that the thing in question cannot be eliminated or fully controlled through measures based solely on human-to-human interventions or management.
-
E.
hasToxicSap
Indicates that an entity produces or contains sap that is harmful or poisonous to other organisms.
- 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_69f76ed6df7c8190b018e5baea716ceb |
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. |
Created at: May 3, 2026, 4:18 p.m.