Triple
T15675047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp North Star |
E377418
|
entity |
| Predicate | toneInNarrative |
P5869
|
FINISHED |
| Object | good-natured and scrappy |
—
|
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: good-natured and scrappy | Statement: [Camp North Star, toneInNarrative, good-natured and scrappy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneInNarrative Context triple: [Camp North Star, toneInNarrative, good-natured and scrappy]
-
A.
narrativeStyle
chosen
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
B.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
-
C.
narratorIn
Indicates that one entity serves as the narrator or storytelling voice within the context of another entity (such as a work, scene, or narrative segment).
-
D.
tone
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
-
E.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.