Triple
T37464484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twinspell |
E930999
|
entity |
| Predicate | copyCreatedByTwinspellCanBeDiscovered |
P188681
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Twinspell, copyCreatedByTwinspellCanBeDiscovered, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copyCreatedByTwinspellCanBeDiscovered Context triple: [Twinspell, copyCreatedByTwinspellCanBeDiscovered, false]
-
A.
copyCreatedByTwinspellCanBeDiscounted
Indicates that a copy created by a Twinspell effect is eligible to receive a discount.
-
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.
isDiscoveredBy
Indicates that something (such as an object, fact, or phenomenon) is found, identified, or revealed by a particular agent or entity.
-
D.
isTwinWith
Indicates that two entities are twins, sharing the same birth parents and being born at (or very near) the same time.
-
E.
sharesSpellingWith
Indicates that two entities have identical or substantially identical written forms (i.e., they are spelled the same way).
- 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_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.