Triple
T5269777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniela Andrade |
E119227
|
entity |
| Predicate | activeOn |
P15519
|
FINISHED |
| Object | online video platforms |
—
|
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: online video platforms | Statement: [Daniela Andrade, activeOn, online video platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeOn Context triple: [Daniela Andrade, activeOn, online video platforms]
-
A.
activeFrom
Indicates the starting point in time from which an entity or relationship is considered active or in effect.
-
B.
isActive
chosen
Indicates that an entity is currently functioning, engaged, or enabled within a given context or system.
-
C.
activeAround
Indicates that an entity is performing actions or exhibiting activity in the vicinity of another entity or location.
-
D.
activeInEvent
Indicates that an entity participates in or is involved in carrying out actions within a particular event.
-
E.
activationTime
Indicates the specific point in time at which an entity, process, or function becomes active or starts operating.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.