Triple
T3589189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon |
E75983
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lyndon Sheehan
Lyndon Sheehan is a New Zealand film producer known for his work on several notable local and international productions.
|
E406036
|
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 Sheehan | Statement: [Lyndon, hasNotableBearer, Lyndon Sheehan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyndon Sheehan Context triple: [Lyndon, hasNotableBearer, Lyndon Sheehan]
-
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 Slewidge
Lyndon Slewidge is a retired Ontario Provincial Police officer best known as the longtime national anthem singer for the Ottawa Senators hockey team.
-
C.
James Dougherty
James Dougherty was an American police officer best known as the first husband of Marilyn Monroe before she became a famous actress.
-
D.
Lyndon Sims
Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
-
E.
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.
- 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 Sheehan Triple: [Lyndon, hasNotableBearer, Lyndon Sheehan]
Generated description
Lyndon Sheehan is a New Zealand film producer known for his work on several notable local and international productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyndon Sheehan Target entity description: Lyndon Sheehan is a New Zealand film producer known for his work on several notable local and international productions.
-
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 Slewidge
Lyndon Slewidge is a retired Ontario Provincial Police officer best known as the longtime national anthem singer for the Ottawa Senators hockey team.
-
C.
James Dougherty
James Dougherty was an American police officer best known as the first husband of Marilyn Monroe before she became a famous actress.
-
D.
Lyndon Sims
Lyndon Sims is an individual notable primarily for bearing the given name "Lyndon."
-
E.
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.
- 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_69b54c2144708190a4a620222eeee5d3 |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54da520b481909ee2a47943a07045 |
completed | March 14, 2026, 11:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54e16cde48190bb82f0eb04470629 |
completed | March 14, 2026, 12:01 p.m. |
Created at: March 8, 2026, 3:22 p.m.