Triple
T19645230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Blue |
E471654
|
entity |
| Predicate | hasPerformer |
P5936
|
FINISHED |
| Object |
Julie Fowlis
Julie Fowlis is a Scottish folk singer and multi-instrumentalist renowned for her performances of traditional Gaelic songs.
|
E1387993
|
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: Julie Fowlis | Statement: [Old Blue, hasPerformer, Julie Fowlis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Fowlis Context triple: [Old Blue, hasPerformer, Julie Fowlis]
-
A.
Lora Macfarlane
Lora Macfarlane is a musician best known as an early drummer and vocalist for the American indie rock band Sleater-Kinney.
-
B.
Jane McLean
Jane McLean is a Canadian actress known for her supporting roles in film and television, including an appearance in the romantic drama "The Time Traveler's Wife."
-
C.
Faye Marsay
Faye Marsay is an English actress known for her roles in film and television, including appearances in "Game of Thrones," "Black Mirror," and "Pride."
-
D.
Francesca Healy
Francesca Healy is a musician best known as a member of the Australian indie pop band The Cannanes.
-
E.
Aoife O’Donovan
Aoife O’Donovan is an American singer-songwriter and Grammy-winning folk musician known for her work with the band Crooked Still, the trio I’m With Her, and her acclaimed solo albums.
- 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: Julie Fowlis Triple: [Old Blue, hasPerformer, Julie Fowlis]
Generated description
Julie Fowlis is a Scottish folk singer and multi-instrumentalist renowned for her performances of traditional Gaelic songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julie Fowlis Target entity description: Julie Fowlis is a Scottish folk singer and multi-instrumentalist renowned for her performances of traditional Gaelic songs.
-
A.
Lora Macfarlane
Lora Macfarlane is a musician best known as an early drummer and vocalist for the American indie rock band Sleater-Kinney.
-
B.
Jane McLean
Jane McLean is a Canadian actress known for her supporting roles in film and television, including an appearance in the romantic drama "The Time Traveler's Wife."
-
C.
Faye Marsay
Faye Marsay is an English actress known for her roles in film and television, including appearances in "Game of Thrones," "Black Mirror," and "Pride."
-
D.
Francesca Healy
Francesca Healy is a musician best known as a member of the Australian indie pop band The Cannanes.
-
E.
Aoife O’Donovan
Aoife O’Donovan is an American singer-songwriter and Grammy-winning folk musician known for her work with the band Crooked Still, the trio I’m With Her, and her acclaimed solo albums.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6412452d481908b6946cad3c411d5 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ee8b6148190b8abcefbcf8b6ad6 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077f87d96c8190a8d9ee82e84be1f2 |
completed | May 15, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07816f54408190b6458ed0d17f9b60 |
completed | May 15, 2026, 8:26 p.m. |
Created at: April 10, 2026, 1:44 p.m.