Triple
T32033058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentines |
E818018
|
entity |
| Predicate | originalDistribution |
P200605
|
FINISHED |
| Object | sent to friends |
—
|
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: sent to friends | Statement: [Valentines, originalDistribution, sent to friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalDistribution Context triple: [Valentines, originalDistribution, sent to friends]
-
A.
originalDistributionModel
chosen
Indicates the initial method or scheme by which something is distributed or allocated.
-
B.
primaryDistribution
Indicates that one entity serves as the main or principal channel through which another entity is distributed or allocated.
-
C.
originalRelease
Indicates the initial publication or first official release event of a work or product.
-
D.
officialDistributionOf
Indicates an authorized or formally sanctioned distribution relationship, where one entity is responsible for officially providing or disseminating something to others.
-
E.
previousDistribution
Indicates that one distribution event or state occurred immediately before another in a sequence.
- 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a014f7602988190b8f86cb431a9cf12 |
completed | May 11, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_6a014a70ea748190bd86fb9f218103ba |
completed | May 11, 2026, 3:18 a.m. |
Created at: May 1, 2026, 12:18 a.m.