Triple
T19223542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man GLG |
E480677
|
entity |
| Predicate | hasParentTicker |
P21787
|
FINISHED |
| Object |
LON:EMG
LON:EMG is the London Stock Exchange ticker symbol for Man Group plc, a major UK-based active investment management firm.
|
E1364631
|
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: LON:EMG | Statement: [Man GLG, hasParentTicker, LON:EMG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LON:EMG Context triple: [Man GLG, hasParentTicker, LON:EMG]
-
A.
EMG FAR
EMG FAR is the abbreviated designation for the General Staff of Cuba’s Revolutionary Armed Forces, the central command body overseeing the country’s military operations and strategy.
-
B.
LONN
LONN is the stock ticker symbol for Lonza Group AG, a Swiss multinational company specializing in pharmaceutical, biotechnology, and nutrition products and services.
-
C.
NMES
NMES is the commonly used abbreviation for the Faculty of Natural, Mathematical & Engineering Sciences at King’s College London.
-
D.
LFP
LFP is the French professional football league organization that oversees the top national divisions, including Ligue 1 and Ligue 2.
-
E.
LFP
LFP is the commonly used abbreviation for Spain’s top professional football league organizer, La Liga (Liga Nacional de Fútbol Profesional).
- 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: LON:EMG Triple: [Man GLG, hasParentTicker, LON:EMG]
Generated description
LON:EMG is the London Stock Exchange ticker symbol for Man Group plc, a major UK-based active investment management firm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LON:EMG Target entity description: LON:EMG is the London Stock Exchange ticker symbol for Man Group plc, a major UK-based active investment management firm.
-
A.
EMG FAR
EMG FAR is the abbreviated designation for the General Staff of Cuba’s Revolutionary Armed Forces, the central command body overseeing the country’s military operations and strategy.
-
B.
LONN
LONN is the stock ticker symbol for Lonza Group AG, a Swiss multinational company specializing in pharmaceutical, biotechnology, and nutrition products and services.
-
C.
NMES
NMES is the commonly used abbreviation for the Faculty of Natural, Mathematical & Engineering Sciences at King’s College London.
-
D.
LFP
LFP is the French professional football league organization that oversees the top national divisions, including Ligue 1 and Ligue 2.
-
E.
LFP
LFP is the commonly used abbreviation for Spain’s top professional football league organizer, La Liga (Liga Nacional de Fútbol Profesional).
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa95743481909314fd14e2c3d189 |
completed | April 20, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700eeb9808190857f490dec27be69 |
completed | May 15, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_6a0701a602c88190bc06dc616f3be6f1 |
completed | May 15, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07027372c88190b19ea77d9b610a56 |
completed | May 15, 2026, 11:24 a.m. |
Created at: April 10, 2026, 1:24 p.m.