Triple
T14821248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Lucas |
E348456
|
entity |
| Predicate | associatedMovementOfUser |
P2459
|
FINISHED |
| Object | confessional poetry |
—
|
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: confessional poetry | Statement: [Victoria Lucas, associatedMovementOfUser, confessional poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMovementOfUser Context triple: [Victoria Lucas, associatedMovementOfUser, confessional poetry]
-
A.
associatedWithMovement
chosen
Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
-
B.
usesMovement
Indicates that an entity performs or involves some form of movement as part of its action or behavior.
-
C.
hasRelationToOtherMovements
Indicates that something is connected, associated, or otherwise related to other movements in a meaningful way.
-
D.
usesMove
Indicates that an entity performs or executes a specific move or action.
-
E.
associatedMob
Indicates a relationship where one entity is linked or connected to a particular mob (mobile entity), typically as its counterpart, partner, or related unit.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:50 a.m.