Triple
T4946261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man Group |
E111057
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Man FRM
Man FRM is an investment management subsidiary of Man Group specializing in systematic and quantitative trading strategies.
|
E480680
|
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: Man FRM | Statement: [Man Group, hasSubsidiary, Man FRM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Man FRM Context triple: [Man Group, hasSubsidiary, Man FRM]
-
A.
MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
-
B.
MAN
MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
-
C.
FNM
FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
-
D.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
-
E.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
- 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: Man FRM Triple: [Man Group, hasSubsidiary, Man FRM]
Generated description
Man FRM is an investment management subsidiary of Man Group specializing in systematic and quantitative trading strategies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Man FRM Target entity description: Man FRM is an investment management subsidiary of Man Group specializing in systematic and quantitative trading strategies.
-
A.
MAN
MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
-
B.
MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
-
C.
FNM
FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
-
D.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
E.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
- 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.