Triple
T13184258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caveman |
E313805
|
entity |
| Predicate | belongsToCampaignType |
P108935
|
FINISHED |
| Object | character-based advertising campaign |
—
|
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: character-based advertising campaign | Statement: [Caveman, belongsToCampaignType, character-based advertising campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCampaignType Context triple: [Caveman, belongsToCampaignType, character-based advertising campaign]
-
A.
belongsToCompanyType
Indicates that an entity is associated with or classified under a particular type or category of company.
-
B.
hasCampType
Indicates that an entity is associated with or classified by a particular type or category of camp.
-
C.
belongsToDocumentType
Indicates that one entity is classified under, or associated with, a specific document type.
-
D.
belongsToSystemType
Indicates that one entity is classified under, or is a member of, a particular system type.
-
E.
belongsToPlatform
Indicates that something is associated with, owned by, or part of a particular platform.
- F. None of above. chosen
Provenance (4 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:15 p.m.