Triple
T6610027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O'Leary |
E149213
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Liam O'Leary
Liam O'Leary is a personal name that may refer to multiple individuals, typically of Irish origin, rather than a single widely recognized public figure.
|
E599772
|
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: Liam O'Leary | Statement: [O'Leary, hasNotableBearer, Liam O'Leary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam O'Leary Context triple: [O'Leary, hasNotableBearer, Liam O'Leary]
-
A.
Ryan O'Reily
Ryan O'Reily is a manipulative and street-smart Irish-American inmate known for his scheming and survival tactics in the HBO prison drama series "Oz."
-
B.
Graham O'Brien
Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
-
C.
Andy Cullen
Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
-
D.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
E.
Liam O’Connor
Liam O’Connor is a British architect best known for designing prominent public memorials, including the Bomber Command Memorial in London.
- 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: Liam O'Leary Triple: [O'Leary, hasNotableBearer, Liam O'Leary]
Generated description
Liam O'Leary is a personal name that may refer to multiple individuals, typically of Irish origin, rather than a single widely recognized public figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liam O'Leary Target entity description: Liam O'Leary is a personal name that may refer to multiple individuals, typically of Irish origin, rather than a single widely recognized public figure.
-
A.
Ryan O'Reily
Ryan O'Reily is a manipulative and street-smart Irish-American inmate known for his scheming and survival tactics in the HBO prison drama series "Oz."
-
B.
Graham O'Brien
Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
-
C.
Andy Cullen
Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
-
D.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
E.
Liam O’Connor
Liam O’Connor is a British architect best known for designing prominent public memorials, including the Bomber Command Memorial in London.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3301dc819082d427675c36aaa6 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd228fc8190852fac2308233765 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd428b988190b01311ca02f4dff3 |
completed | March 27, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdcc10c08190aa98212bd17063a3 |
completed | March 27, 2026, 6:34 p.m. |
Created at: March 27, 2026, 1:57 p.m.