Triple
T26092936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Luigi |
E658174
|
entity |
| Predicate | grantsToCharacter |
P65139
|
FINISHED |
| Object | Luigi |
—
|
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: Luigi | Statement: [Cape Luigi, grantsToCharacter, Luigi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsToCharacter Context triple: [Cape Luigi, grantsToCharacter, Luigi]
-
A.
grantingCharacter
Indicates that one entity is the character who gives or grants something (such as a right, power, or item) to another entity.
-
B.
grantedTalentBy
Indicates that a talent, skill, or special ability is conferred upon an entity by another entity as the granting source.
-
C.
grantsAbility
Indicates that one entity endows another entity with a specific capability or power that it did not previously possess.
-
D.
believedToGrant
Indicates that something is thought or assumed to provide, confer, or bestow a particular benefit, quality, or effect.
-
E.
offeredByCharacter
chosen
Indicates that something (such as an item, service, or opportunity) is being presented or proposed by a particular character to another party.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 26, 2026, 7:48 p.m.