Triple
T4394447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Ryan |
E99449
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Shane Ryan
Shane Ryan is an Irish businessman known as the son of aviation tycoon Tony Ryan, co-founder of Ryanair.
|
E437445
|
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: Shane Ryan | Statement: [Tony Ryan, hasChild, Shane Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Ryan Context triple: [Tony Ryan, hasChild, Shane Ryan]
-
A.
Shane Brennan
Shane Brennan is an Australian television writer and producer best known for his work on crime dramas, including leading roles on the NCIS franchise.
-
B.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
C.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
-
D.
Jeremiah O’Driscoll
Jeremiah O’Driscoll is a film editor best known for his work on major feature films, including serving as the editor of "The Polar Express."
-
E.
Daniel Neeson
Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
- 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: Shane Ryan Triple: [Tony Ryan, hasChild, Shane Ryan]
Generated description
Shane Ryan is an Irish businessman known as the son of aviation tycoon Tony Ryan, co-founder of Ryanair.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shane Ryan Target entity description: Shane Ryan is an Irish businessman known as the son of aviation tycoon Tony Ryan, co-founder of Ryanair.
-
A.
Shane Brennan
Shane Brennan is an Australian television writer and producer best known for his work on crime dramas, including leading roles on the NCIS franchise.
-
B.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
C.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
-
D.
Jeremiah O’Driscoll
Jeremiah O’Driscoll is a film editor best known for his work on major feature films, including serving as the editor of "The Polar Express."
-
E.
Daniel Neeson
Daniel Neeson is the son of acclaimed Irish actor Liam Neeson and his late wife, actress Natasha Richardson.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352a9c8b88190a7894a40be4996f0 |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5ec77d081909b07ebd004be136f |
completed | March 14, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_69b5f6e03b68819093c2a7785782641e |
completed | March 15, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f7887cb08190bf498eefc3627bfa |
completed | March 15, 2026, 12:04 a.m. |
Created at: March 12, 2026, 11:20 p.m.