Triple
T5192237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Byrne |
E117182
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bracken
Bracken is an Irish television drama series that helped establish actor Gabriel Byrne’s early career.
|
E502213
|
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: Bracken | Statement: [Gabriel Byrne, notableWork, Bracken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bracken Context triple: [Gabriel Byrne, notableWork, Bracken]
-
A.
Bracken
Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
-
B.
Rhoose
Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
-
C.
Fenn's Moss
Fenn's Moss is a raised peat bog and nature reserve on the English–Welsh border, noted for its rare wildlife and inclusion in one of the largest lowland raised bog systems in Britain.
-
D.
Moss
Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
-
E.
Moss
Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
- 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: Bracken Triple: [Gabriel Byrne, notableWork, Bracken]
Generated description
Bracken is an Irish television drama series that helped establish actor Gabriel Byrne’s early career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bracken Target entity description: Bracken is an Irish television drama series that helped establish actor Gabriel Byrne’s early career.
-
A.
Bracken
Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
-
B.
Rhoose
Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
-
C.
Fenn's Moss
Fenn's Moss is a raised peat bog and nature reserve on the English–Welsh border, noted for its rare wildlife and inclusion in one of the largest lowland raised bog systems in Britain.
-
D.
Moss
Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
-
E.
Moss
Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79efd16c8190b0b16278a00baecd |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0943ce48190838aff0cfd12c655 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee5fc0c408190b4ad4b77e0045182 |
completed | March 21, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6b954c08190a353ebcfe829888a |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:46 p.m.