Triple
T19942906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PostSecret |
E479350
|
entity |
| Predicate | methodOfContribution |
P8926
|
FINISHED |
| Object | anonymous mailed postcards |
—
|
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: anonymous mailed postcards | Statement: [PostSecret, methodOfContribution, anonymous mailed postcards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfContribution Context triple: [PostSecret, methodOfContribution, anonymous mailed postcards]
-
A.
portraysContribution
Indicates that one entity depicts, represents, or illustrates the contribution or role of another entity.
-
B.
missionContribution
Indicates that an entity plays a role in supporting, advancing, or fulfilling the mission or overarching purpose of another entity or organization.
-
C.
tributeMethod
chosen
Indicates the means or manner by which tribute is given, delivered, or fulfilled between parties.
-
D.
contributionBased
Indicates that something is determined, allocated, or structured according to the level or amount of contributions made by the involved entities.
-
E.
contributionBase
Indicates the foundational amount, value, or resource on which a contribution, payment, or benefit is calculated or determined.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a63f2e48190ba1cb7a4f415e7f6 |
completed | April 20, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.