Triple
T26092948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Luigi |
E658174
|
entity |
| Predicate | hasOriginalCharacterOwner |
P171745
|
FINISHED |
| Object | Nintendo |
—
|
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: Nintendo | Statement: [Cape Luigi, hasOriginalCharacterOwner, Nintendo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalCharacterOwner Context triple: [Cape Luigi, hasOriginalCharacterOwner, Nintendo]
-
A.
hasOriginalCharacter
Indicates that an entity includes, features, or is associated with an original character distinct from pre-existing or canonical characters.
-
B.
hasOriginalOwnerFamily
Indicates that something is or was owned by a particular family that is recognized as its original owner.
-
C.
hasOwnerCharacters
Indicates that an entity is associated with one or more characters who own or are responsible for it.
-
D.
hasOwnerTrait
Indicates that an owner possesses or exhibits a specific trait or characteristic.
-
E.
ownerOfProtagonist
Indicates that one entity is the owner, master, or possessor of the protagonist entity.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a28b8ea881908733485374771c51 |
completed | May 3, 2026, 1:19 a.m. |
Created at: April 26, 2026, 7:48 p.m.