Triple
T4823033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie O’Connell |
E107754
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
O’Connell
O’Connell is an Irish-origin surname borne by numerous notable figures in politics, sports, arts, and public life.
|
E298522
|
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: O’Connell | Statement: [Freddie O’Connell, familyName, O’Connell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O’Connell Context triple: [Freddie O’Connell, familyName, O’Connell]
-
A.
Parnell
Parnell is one of Auckland’s oldest and most affluent inner-city suburbs, known for its historic architecture, boutique shopping, and vibrant café culture.
-
B.
Connolly
Connolly is a surname of Irish origin borne by numerous notable figures in politics, arts, and sports.
-
C.
O'Herlihy
O'Herlihy is an Irish surname associated with figures in film, television, and the arts.
-
D.
Guilfoyle
Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
-
E.
Ambrose O’Brien
Ambrose O’Brien was a Canadian sports executive and entrepreneur best known for helping to establish professional ice hockey leagues that were precursors to the modern 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: O’Connell Triple: [Freddie O’Connell, familyName, O’Connell]
Generated description
O’Connell is an Irish-origin surname borne by numerous notable figures in politics, sports, arts, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O’Connell Target entity description: O’Connell is an Irish-origin surname borne by numerous notable figures in politics, sports, arts, and public life.
-
A.
Parnell
Parnell is one of Auckland’s oldest and most affluent inner-city suburbs, known for its historic architecture, boutique shopping, and vibrant café culture.
-
B.
Connolly
chosen
Connolly is a surname of Irish origin borne by numerous notable figures in politics, arts, and sports.
-
C.
O'Herlihy
O'Herlihy is an Irish surname associated with figures in film, television, and the arts.
-
D.
Guilfoyle
Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
-
E.
Ambrose O’Brien
Ambrose O’Brien was a Canadian sports executive and entrepreneur best known for helping to establish professional ice hockey leagues that were precursors to the modern NHL.
- F. None of above.
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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6caa95ec8190bea525dbf3a00477 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dc6ddcc8190903c0737476bbe36 |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4fd6581881908ce99ed0e531504d |
completed | March 21, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5037528881909e17870b7d01fa1f |
completed | March 21, 2026, 8 a.m. |
Created at: March 20, 2026, 1:24 p.m.