Triple
T17535528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdia Walsh-Peelo |
E427048
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Oisín Walsh-Peelo
Oisín Walsh-Peelo is an Irish musician and actor, known in part for his work alongside his brother Ferdia Walsh-Peelo.
|
E1273955
|
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: Oisín Walsh-Peelo | Statement: [Ferdia Walsh-Peelo, hasSibling, Oisín Walsh-Peelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oisín Walsh-Peelo Context triple: [Ferdia Walsh-Peelo, hasSibling, Oisín Walsh-Peelo]
-
A.
Kay Walsh
Kay Walsh was a British actress and dancer known for her versatile performances in mid-20th-century cinema and her collaborations with prominent directors like David Lean.
-
B.
Jennifer Walsh
Jennifer Walsh is a personal name shared by multiple individuals, including professionals in fields such as academia, sports, and the arts.
-
C.
Luk Lysgaard-Peacock
Luk Lysgaard-Peacock is a fictional character appearing in the work "Babel Tower."
-
D.
Michelle Walsh
Michelle Walsh is a sports administrator who serves as the athletic director for the Brewers organization.
-
E.
Morgan Walsh
Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
- 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: Oisín Walsh-Peelo Triple: [Ferdia Walsh-Peelo, hasSibling, Oisín Walsh-Peelo]
Generated description
Oisín Walsh-Peelo is an Irish musician and actor, known in part for his work alongside his brother Ferdia Walsh-Peelo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oisín Walsh-Peelo Target entity description: Oisín Walsh-Peelo is an Irish musician and actor, known in part for his work alongside his brother Ferdia Walsh-Peelo.
-
A.
Kay Walsh
Kay Walsh was a British actress and dancer known for her versatile performances in mid-20th-century cinema and her collaborations with prominent directors like David Lean.
-
B.
Jennifer Walsh
Jennifer Walsh is a personal name shared by multiple individuals, including professionals in fields such as academia, sports, and the arts.
-
C.
Luk Lysgaard-Peacock
Luk Lysgaard-Peacock is a fictional character appearing in the work "Babel Tower."
-
D.
Michelle Walsh
Michelle Walsh is a sports administrator who serves as the athletic director for the Brewers organization.
-
E.
Morgan Walsh
Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536b8d6c8190906314708001a830 |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c95009fc81909ab2a341c105b046 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01cb6b09648190972d5b26bea7b5bf |
completed | May 11, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cbe36900819080ae960724848db8 |
completed | May 11, 2026, 12:30 p.m. |
Created at: April 10, 2026, 5:49 a.m.