Triple
T32041287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilderness Explorer uniform |
E818225
|
entity |
| Predicate | wornByCharacterType |
P84687
|
FINISHED |
| Object | Wilderness Explorer scout |
—
|
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: Wilderness Explorer scout | Statement: [Wilderness Explorer uniform, wornByCharacterType, Wilderness Explorer scout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wornByCharacterType Context triple: [Wilderness Explorer uniform, wornByCharacterType, Wilderness Explorer scout]
-
A.
wornByFictionalCharacter
Indicates that a particular item (such as clothing or accessories) is worn by a specific fictional character.
-
B.
wornByActor
Indicates that a wearable item (such as clothing or accessories) is being worn by a particular actor.
-
C.
typicallyWornBy
chosen
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
-
D.
usedByCharacter
Indicates that something (such as an item, ability, or resource) is utilized or employed by a particular character.
-
E.
oftenDepictedWearing
Indicates that an entity is frequently shown or represented as wearing a particular item or type of clothing in depictions or portrayals.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4bcc61c8190a90130852b240b6a |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:19 a.m.