Triple
T13202621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Brossolette |
E314277
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | SFIO |
E700183
|
NE 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: SFIO | Statement: [Pierre Brossolette, memberOf, SFIO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFIO Context triple: [Pierre Brossolette, memberOf, SFIO]
-
A.
SFIO
chosen
SFIO (Section Française de l'Internationale Ouvrière) was a major French socialist political party that played a central role in left-wing politics from the early 20th century until it evolved into the modern Socialist Party.
-
B.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
C.
SIF
SIF is a Canadian federal funding program that supports large-scale, transformative business and innovation projects to drive economic growth and competitiveness.
-
D.
FIO
FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
-
E.
SFI
SFI is a left-wing student organization in India associated with the Communist Party of India (Marxist), active in campuses across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9961a48190a1157df47f59b7af |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60cf610819098d0c45989e3f9cf |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.