Triple
T19223438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Group |
E480675
|
entity |
| Predicate | separatedFrom |
P243
|
FINISHED |
| Object | ED&F Man |
—
|
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: ED&F Man | Statement: [Man Group, separatedFrom, ED&F Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ED&F Man Context triple: [Man Group, separatedFrom, ED&F Man]
-
A.
ED&F Man
chosen
ED&F Man is a historic British commodities trading and brokerage firm best known for its global sugar, coffee, and agricultural products business.
-
B.
GDF Suez
GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
-
C.
Thales Group
Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
-
D.
Uniper
Uniper is a German energy company focused on power generation and global energy trading, formed from the conventional energy business spun off from E.ON.
-
E.
SFR Group
SFR Group is a major French telecommunications and media company providing mobile, fixed-line, internet, and television services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa95743481909314fd14e2c3d189 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:24 p.m.