Triple
T1788708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Green |
E39445
|
entity |
| Predicate | helpedExpand |
P5633
|
FINISHED |
| Object | membership of the American Federation of Labor |
—
|
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: membership of the American Federation of Labor | Statement: [William Green, helpedExpand, membership of the American Federation of Labor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedExpand Context triple: [William Green, helpedExpand, membership of the American Federation of Labor]
-
A.
expands
Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or another entity.
-
B.
expandedBy
chosen
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
C.
expandsIn
Indicates that one entity grows, spreads, or extends its presence or influence within the space, scope, or context defined by another entity.
-
D.
expandedAfter
Indicates that one entity increases in size, scope, or extent after another specified event or point in time.
-
E.
expandedDuring
Indicates that an entity increased in size, scope, or extent over the course of a specified time period or event.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.