Triple
T35016747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth (Adventure Time) |
E1010074
|
entity |
| Predicate | containsCharacterHome |
P195494
|
FINISHED |
| Object | Finn the Human’s tree fort |
—
|
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: Finn the Human’s tree fort | Statement: [Earth (Adventure Time), containsCharacterHome, Finn the Human’s tree fort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCharacterHome Context triple: [Earth (Adventure Time), containsCharacterHome, Finn the Human’s tree fort]
-
A.
containsCharacterAction
Indicates that an entity includes or features an action performed by a character within it.
-
B.
containsCharacter
Indicates that one entity includes a specific character as part of its content or composition.
-
C.
hasHumanCharacters
Indicates that the subject includes or features characters that are human beings.
-
D.
belongsToCharacter
chosen
Indicates that something is owned, associated with, or under the domain of a particular character.
-
E.
hasCharacters
Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00a602b6b48190a9dea8ae22d2fa05 |
completed | May 10, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_6a00a559bf3881909a7b50776d8f47bb |
completed | May 10, 2026, 3:33 p.m. |
Created at: May 3, 2026, 4:01 p.m.