Triple
T17233923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TikTok Ads Manager |
E418312
|
entity |
| Predicate | supportsTargeting |
P86230
|
FINISHED |
| Object | demographic targeting |
—
|
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: demographic targeting | Statement: [TikTok Ads Manager, supportsTargeting, demographic targeting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTargeting Context triple: [TikTok Ads Manager, supportsTargeting, demographic targeting]
-
A.
supportsTargetedAdvertising
chosen
Indicates that an entity enables or facilitates the delivery of advertisements tailored to specific users or audience segments based on their data or behavior.
-
B.
usesTargetingSystem
Indicates that an entity employs or relies on a specific targeting system to aim at or select a target.
-
C.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
D.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
-
E.
supportsReach
Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfa0a408190880804d463305867 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.