Triple
T37664944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crying Obsidian |
E937799
|
entity |
| Predicate | craftsInto |
P188346
|
FINISHED |
| Object | Respawn Anchor |
—
|
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: Respawn Anchor | Statement: [Crying Obsidian, craftsInto, Respawn Anchor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: craftsInto Context triple: [Crying Obsidian, craftsInto, Respawn Anchor]
-
A.
craftingWith
Indicates a relationship where something is created or shaped using a particular tool, material, or method.
-
B.
craftedIn
Indicates that an object or work was created or produced at a particular place or within a specific location.
-
C.
traditionalCraft
Indicates that an entity is associated with or practices a craft or skill that is rooted in long-established, culturally transmitted traditions.
-
D.
craftable
chosen
Indicates that one entity can be created, assembled, or produced from other entities or resources, typically through a defined crafting process.
-
E.
craftProcess
Indicates the method or sequence of actions used to create, shape, or assemble something, typically by skilled or artisanal means.
- 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_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:18 p.m.