Triple
T16249472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juno and the Paycock |
E394460
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Juno Boyle
Juno Boyle is the resilient, long-suffering matriarch in Seán O’Casey’s play "Juno and the Paycock," embodying strength and practicality amid family and political turmoil in Dublin.
|
E1211118
|
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: Juno Boyle | Statement: [Juno and the Paycock, character, Juno Boyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juno Boyle Context triple: [Juno and the Paycock, character, Juno Boyle]
-
A.
Juno Wright
Juno Wright is a child of British actress and singer Carmen Ejogo.
-
B.
Maria Boyle
Maria Boyle was the wife of prominent 19th-century American politician and jurist Thomas Ewing.
-
C.
Luna Thurman-Busson
Luna Thurman-Busson is the daughter of American actress Uma Thurman and French financier Arpad Busson.
-
D.
Laurie Jupiter
Laurie Jupiter is a central character in the Watchmen universe, a second-generation costumed vigilante who struggles with her legacy, relationships, and moral identity.
-
E.
Rhea Seddon
Rhea Seddon is an American physician and former NASA astronaut who flew on three Space Shuttle missions and was among the first women selected to join the astronaut corps.
- 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: Juno Boyle Triple: [Juno and the Paycock, character, Juno Boyle]
Generated description
Juno Boyle is the resilient, long-suffering matriarch in Seán O’Casey’s play "Juno and the Paycock," embodying strength and practicality amid family and political turmoil in Dublin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juno Boyle Target entity description: Juno Boyle is the resilient, long-suffering matriarch in Seán O’Casey’s play "Juno and the Paycock," embodying strength and practicality amid family and political turmoil in Dublin.
-
A.
Juno Wright
Juno Wright is a child of British actress and singer Carmen Ejogo.
-
B.
Maria Boyle
Maria Boyle was the wife of prominent 19th-century American politician and jurist Thomas Ewing.
-
C.
Luna Thurman-Busson
Luna Thurman-Busson is the daughter of American actress Uma Thurman and French financier Arpad Busson.
-
D.
Laurie Jupiter
Laurie Jupiter is a central character in the Watchmen universe, a second-generation costumed vigilante who struggles with her legacy, relationships, and moral identity.
-
E.
Rhea Seddon
Rhea Seddon is an American physician and former NASA astronaut who flew on three Space Shuttle missions and was among the first women selected to join the astronaut corps.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24594f23c8190bd59fcb2585cb5e3 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c48c5cc8190ba99154e99942316 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003d449da881908eb66b2e9c20729e |
completed | May 10, 2026, 8:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003d9c6f1881909c0155c0fd3f9872 |
completed | May 10, 2026, 8:11 a.m. |
Created at: April 10, 2026, 5:04 a.m.