Triple
T35016677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grass Arm |
E1010073
|
entity |
| Predicate | attachedToCharacter |
P169772
|
FINISHED |
| Object | Finn the Human |
—
|
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: Finn the Human | Statement: [Grass Arm, attachedToCharacter, Finn the Human]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attachedToCharacter Context triple: [Grass Arm, attachedToCharacter, Finn the Human]
-
A.
attachedTo
Indicates that one entity is physically or logically fastened, connected, or joined to another entity.
-
B.
appliesToCharacter
Indicates that an action, rule, or property is specifically directed toward or relevant for a particular character.
-
C.
connectsCharacter
Indicates that one character is linked or associated with another in some meaningful way.
-
D.
gắnVớiNhânVật
chosen
Indicates a relationship in which something is associated, connected, or tied to a particular character or person.
-
E.
followsCharacterTo
Indicates that one character moves after or in pursuit of another character to a particular location or destination.
- 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_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.