Triple
T3589185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon |
E75983
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lyndon Sims
Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
|
E399992
|
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 Sims | Statement: [Lyndon, hasNotableBearer, Lyndon Sims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyndon Sims Context triple: [Lyndon, hasNotableBearer, Lyndon Sims]
-
A.
Lyndon Smith
Lyndon Smith is an American actress best known for her television roles in series such as "Parenthood" and "Public Morals."
-
B.
Lyndon Mustoe
Lyndon Mustoe is a former Welsh rugby union prop who played for clubs such as Cardiff and Gloucester and earned caps for the Wales national team.
-
C.
Lyndon Hardy
Lyndon Hardy is an American physicist and science fiction author best known for his "Magic by the Numbers" fantasy series.
-
D.
Lyndon Slewidge
Lyndon Slewidge is a retired Ontario Provincial Police officer best known as the longtime national anthem singer for the Ottawa Senators hockey team.
-
E.
Lyndon Ogbourne
Lyndon Ogbourne is a British actor best known for his role as Nathan Wylde in the ITV soap opera "Emmerdale."
- 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 Sims Triple: [Lyndon, hasNotableBearer, Lyndon Sims]
Generated description
Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyndon Sims Target entity description: Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
-
A.
Lyndon Smith
Lyndon Smith is an American actress best known for her television roles in series such as "Parenthood" and "Public Morals."
-
B.
Lyndon Mustoe
Lyndon Mustoe is a former Welsh rugby union prop who played for clubs such as Cardiff and Gloucester and earned caps for the Wales national team.
-
C.
Lyndon Hardy
Lyndon Hardy is an American physicist and science fiction author best known for his "Magic by the Numbers" fantasy series.
-
D.
Lyndon Slewidge
Lyndon Slewidge is a retired Ontario Provincial Police officer best known as the longtime national anthem singer for the Ottawa Senators hockey team.
-
E.
Lyndon Ogbourne
Lyndon Ogbourne is a British actor best known for his role as Nathan Wylde in the ITV soap opera "Emmerdale."
- 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_69b52821cf088190811a201c31eadcdd |
completed | March 14, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69b52be179708190b905017ace46afe7 |
completed | March 14, 2026, 9:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52c4569c4819098eebb5c7b91a6c0 |
completed | March 14, 2026, 9:37 a.m. |
Created at: March 8, 2026, 3:22 p.m.