Triple
T7438306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violet Barnes |
E171676
|
entity |
| Predicate | engagementDuration |
P40755
|
FINISHED |
| Object | five years |
—
|
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: five years | Statement: [Violet Barnes, engagementDuration, five years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagementDuration Context triple: [Violet Barnes, engagementDuration, five years]
-
A.
engagementRange
Indicates the distance or span within which an entity can effectively engage, interact with, or affect another entity.
-
B.
intendedDuration
chosen
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
C.
engagementOf
Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
-
D.
engagementPhase
Indicates the specific stage or phase an ongoing interaction, project, or relationship is currently in within its overall lifecycle.
-
E.
eraDuration
Indicates the length of time that a particular era or period spans.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34aa3388190ac300cf934042d78 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:13 p.m.