Triple
T25635884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillsboro |
E642695
|
entity |
| Predicate | attractsCharacterType |
P1347
|
FINISHED |
| Object | traveling preachers |
—
|
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: traveling preachers | Statement: [Hillsboro, attractsCharacterType, traveling preachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractsCharacterType Context triple: [Hillsboro, attractsCharacterType, traveling preachers]
-
A.
attractedFigure
Indicates that one figure is visually or emotionally drawn toward, or finds appealing, another figure.
-
B.
attracts
chosen
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
C.
targetsCharacter
Indicates that one entity is the intended focus or target of another entity’s action, effect, or behavior.
-
D.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
E.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa62459c81908b2cee255cb35b8d |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:22 p.m.