Triple
T3589195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon |
E75983
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lyndon Evelyn
Lyndon Evelyn was a British politician who served as a Conservative Member of Parliament in the 19th century.
|
E410223
|
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: Lyndon Evelyn | Statement: [Lyndon, hasNotableBearer, Lyndon Evelyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyndon Evelyn Context triple: [Lyndon, hasNotableBearer, Lyndon Evelyn]
-
A.
Lyndon
Lyndon is a masculine given name most famously borne by Lyndon B. Johnson, the 36th president of the United States.
-
B.
Lyndon Lea
Lyndon Lea is a British private equity investor best known as the co-founder of Lion Capital, a firm focused on consumer brands.
-
C.
Lyndon Stromberg
Lyndon Stromberg is an American sculptor and entrepreneur known for creating large-scale architectural sculptures and themed environments for casinos, resorts, and public spaces.
-
D.
Lyndon Hooper
Lyndon Hooper is a retired Canadian soccer midfielder who earned numerous caps for the Canadian national team during the late 1980s and 1990s.
-
E.
Lyndon Byers
Lyndon Byers is a former Canadian professional ice hockey right winger best known for his tough, physical play with the Boston Bruins in the NHL.
- 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: Lyndon Evelyn Triple: [Lyndon, hasNotableBearer, Lyndon Evelyn]
Generated description
Lyndon Evelyn was a British politician who served as a Conservative Member of Parliament in the 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyndon Evelyn Target entity description: Lyndon Evelyn was a British politician who served as a Conservative Member of Parliament in the 19th century.
-
A.
Lyndon
Lyndon is a masculine given name most famously borne by Lyndon B. Johnson, the 36th president of the United States.
-
B.
Lyndon Lea
Lyndon Lea is a British private equity investor best known as the co-founder of Lion Capital, a firm focused on consumer brands.
-
C.
Lyndon Stromberg
Lyndon Stromberg is an American sculptor and entrepreneur known for creating large-scale architectural sculptures and themed environments for casinos, resorts, and public spaces.
-
D.
Lyndon Hooper
Lyndon Hooper is a retired Canadian soccer midfielder who earned numerous caps for the Canadian national team during the late 1980s and 1990s.
-
E.
Lyndon Byers
Lyndon Byers is a former Canadian professional ice hockey right winger best known for his tough, physical play with the Boston Bruins in the NHL.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13b2970819084181425b01f9595 |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56278b2c881908329ab4522ba7e24 |
completed | March 14, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69b563ced83c81908d7eff6a54b3b66c |
completed | March 14, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b564893f44819086ffe89101217f53 |
completed | March 14, 2026, 1:37 p.m. |
Created at: March 8, 2026, 3:22 p.m.