Triple
T18986588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Considine |
E464572
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ciara Considine
Ciara Considine is a musician known for her performances and recordings in the Celtic and folk music traditions.
|
E1352469
|
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: Ciara Considine | Statement: [Considine, hasNotableBearer, Ciara Considine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciara Considine Context triple: [Considine, hasNotableBearer, Ciara Considine]
-
A.
Siobhan Sheehan
Siobhan Sheehan is a character from the television series "Mare of Easttown," known as the teenage daughter of the titular detective, Mare Sheehan.
-
B.
Siobhan Mehigan
Siobhan Mehigan is a central character in the Irish television drama series "Ballykissangel," known for her role as the village vet and her strong, independent personality.
-
C.
Candice D’Arcy
Candice D’Arcy is an actress best known for her leading role in the film "The Girl."
-
D.
Siobhan Reilly
Siobhan Reilly is an actress known for her role in the Scottish comedy-drama film "The Angels' Share."
-
E.
Marisa Coughlan
Marisa Coughlan is an American actress best known for her roles in films like "Teaching Mrs. Tingle" and the cult comedy "Super Troopers," as well as various television appearances.
- 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: Ciara Considine Triple: [Considine, hasNotableBearer, Ciara Considine]
Generated description
Ciara Considine is a musician known for her performances and recordings in the Celtic and folk music traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ciara Considine Target entity description: Ciara Considine is a musician known for her performances and recordings in the Celtic and folk music traditions.
-
A.
Siobhan Sheehan
Siobhan Sheehan is a character from the television series "Mare of Easttown," known as the teenage daughter of the titular detective, Mare Sheehan.
-
B.
Siobhan Mehigan
Siobhan Mehigan is a central character in the Irish television drama series "Ballykissangel," known for her role as the village vet and her strong, independent personality.
-
C.
Candice D’Arcy
Candice D’Arcy is an actress best known for her leading role in the film "The Girl."
-
D.
Siobhan Reilly
Siobhan Reilly is an actress known for her role in the Scottish comedy-drama film "The Angels' Share."
-
E.
Marisa Coughlan
Marisa Coughlan is an American actress best known for her roles in films like "Teaching Mrs. Tingle" and the cult comedy "Super Troopers," as well as various television appearances.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d660835c8190bedd78590b3e0a7e |
completed | April 20, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05ad4717f48190a950ac569b8bcf12 |
completed | May 14, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a05aedf05c4819096ac6a61ada4b310 |
completed | May 14, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05afe523208190a97142cd8e3b887b |
completed | May 14, 2026, 11:20 a.m. |
Created at: April 10, 2026, 12:01 p.m.