Triple
T19383399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weedon Scott |
E484868
|
entity |
| Predicate | bringsCharacterTo |
P101819
|
FINISHED |
| Object | White Fang to California |
—
|
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: White Fang to California | Statement: [Weedon Scott, bringsCharacterTo, White Fang to California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bringsCharacterTo Context triple: [Weedon Scott, bringsCharacterTo, White Fang to California]
-
A.
transportsCharacter
chosen
Indicates that one entity moves or carries a character from one location or state to another.
-
B.
connectsCharacter
Indicates that one character is linked or associated with another in some meaningful way.
-
C.
revisitsCharacterFrom
Indicates that a work, scene, or narrative element returns to and features a character who has appeared previously.
-
D.
followsCharacterTo
Indicates that one character moves after or in pursuit of another character to a particular location or destination.
-
E.
openingMovementCharacter
Indicates the characteristic or quality that defines how the opening movement of a work is expressed or perceived.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a626b288190a27a30deb0ccabc3 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.