Triple
T26076523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens (through the story of Theseus) |
E657699
|
entity |
| Predicate | socialReformAttributedTo |
P83745
|
FINISHED |
| Object | Theseus |
—
|
NE NERFINISHED |
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: Theseus | Statement: [Athens (through the story of Theseus), socialReformAttributedTo, Theseus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialReformAttributedTo Context triple: [Athens (through the story of Theseus), socialReformAttributedTo, Theseus]
-
A.
socialReformFocus
Indicates a focus on changing or improving social structures, policies, or conditions as part of a reform effort.
-
B.
socialContribution
Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
-
C.
reformInfluencedBy
chosen
Indicates that a reform was shaped, guided, or significantly affected by another person, idea, event, or reform.
-
D.
associatedReforms
Indicates a relationship where certain reforms are linked or connected to a given entity, such as a policy, event, or individual.
-
E.
hasSocialInfluenceThrough
Indicates that one entity exerts social influence on another specifically by means of an intermediary channel, platform, or relationship.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 26, 2026, 7:34 p.m.