Triple
T37464485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twinspell |
E930999
|
entity |
| Predicate | copyCreatedByTwinspellIsAddedTo |
P189038
|
FINISHED |
| Object | owner’s hand |
—
|
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: owner’s hand | Statement: [Twinspell, copyCreatedByTwinspellIsAddedTo, owner’s hand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copyCreatedByTwinspellIsAddedTo Context triple: [Twinspell, copyCreatedByTwinspellIsAddedTo, owner’s hand]
-
A.
copyCreatedByTwinspellCanBeDiscovered
Indicates that a copy produced by a Twinspell effect is capable of being detected or discovered.
-
B.
copyIsNotTwinspell
Indicates that a copied instance of a spell or effect is not considered a true twin or identical duplicate of the original spell.
-
C.
copyCreatedByTwinspellCanBeDiscounted
Indicates that a copy created by a Twinspell effect is eligible to receive a discount.
-
D.
createdBySamePersonAs
Indicates that two entities were both created by the same individual or agent.
-
E.
secondCreatedBy
Indicates that an entity was created by a second or subsequent creator, distinguishing this creator from the primary or original one.
- 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_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:17 p.m.