Triple
T4946247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Group |
E111057
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object |
ED&F Man
ED&F Man is a historic British commodities trading and brokerage firm best known for its global sugar, coffee, and agricultural products business.
|
E480675
|
NE FINISHED |
How this triple was built (4 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, hasFormerName, ED&F Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ED&F Man Context triple: [Man Group, hasFormerName, ED&F Man]
-
A.
GDF Suez
GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
-
B.
Thales Group
Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
-
C.
EMI Group
EMI Group was a major British music company and record label conglomerate known for its influential role in the global recording industry.
-
D.
Vivendi
Vivendi is a French multinational media and entertainment conglomerate known for its interests in music, television, film, publishing, and communications.
-
E.
Eiffage
Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ED&F Man Triple: [Man Group, hasFormerName, ED&F Man]
Generated description
ED&F Man is a historic British commodities trading and brokerage firm best known for its global sugar, coffee, and agricultural products business.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ED&F Man Target entity description: ED&F Man is a historic British commodities trading and brokerage firm best known for its global sugar, coffee, and agricultural products business.
-
A.
GDF Suez
GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
-
B.
Thales Group
Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
-
C.
EMI Group
EMI Group was a major British music company and record label conglomerate known for its influential role in the global recording industry.
-
D.
Vivendi
Vivendi is a French multinational media and entertainment conglomerate known for its interests in music, television, film, publishing, and communications.
-
E.
Eiffage
Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
- F. None of above. chosen
Provenance (5 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70aa890c81908e685ec5e88cae1f |
completed | March 20, 2026, 4:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77c873dc81909129644cf929ed5e |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be78db96e081909eec1b8e287e6ef9 |
completed | March 21, 2026, 10:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7940416881908167cd24b11d8be0 |
completed | March 21, 2026, 10:56 a.m. |
Created at: March 20, 2026, 1:31 p.m.