Triple
T193569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Security Amendments of 1939 |
E3770
|
entity |
| Predicate | restructures |
P772
|
FINISHED |
| Object | Old-Age Insurance program |
—
|
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: Old-Age Insurance program | Statement: [Social Security Amendments of 1939, restructures, Old-Age Insurance program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restructures Context triple: [Social Security Amendments of 1939, restructures, Old-Age Insurance program]
-
A.
reorganized
chosen
Indicates that an entity has changed the structure, order, or arrangement of another entity or set of entities from a previous configuration.
-
B.
reorganizedAs
Indicates that an existing entity has been restructured or reconfigured into a new organizational form or arrangement.
-
C.
reconstructedAs
Indicates that one entity has been rebuilt, recreated, or inferred based on evidence, models, or partial information from another entity.
-
D.
redesigned
Indicates that an entity has been modified or created anew in terms of its structure, appearance, or functionality, replacing a previous design.
-
E.
typeOfReorganization
Indicates the specific kind or category of organizational restructuring that is being or has been carried out.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2596810c48190ab687c0c2efaa9e2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a256769ad8819083c1d83082c0215e |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.