Triple
T15675045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp North Star |
E377418
|
entity |
| Predicate | targetGroupInFiction |
P104242
|
FINISHED |
| Object | children and teenagers |
—
|
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: children and teenagers | Statement: [Camp North Star, targetGroupInFiction, children and teenagers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetGroupInFiction Context triple: [Camp North Star, targetGroupInFiction, children and teenagers]
-
A.
targetInFiction
Indicates that one entity is the target or subject of an action, focus, or effect within a fictional work or narrative context.
-
B.
associatedWithFictionalGroup
chosen
Indicates that an entity has a connection or affiliation with a fictional group, organization, or collective.
-
C.
partOfFictionalGroup
Indicates that an entity belongs to or is a member of a specific fictional group, organization, or team.
-
D.
fictionalEntityType
Indicates that the subject is classified as a particular type or category of fictional entity within a narrative or imaginary context.
-
E.
capturedByFictionalGroup
Indicates that an entity is taken prisoner, seized, or otherwise held under the control of a fictional group.
- 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.