Triple
T14114429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On and On |
E339728
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object |
Gemma Hayes
Gemma Hayes is an Irish singer-songwriter and musician known for her atmospheric indie folk and alternative rock music.
|
E1079638
|
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: Gemma Hayes | Statement: [On and On, artist, Gemma Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemma Hayes Context triple: [On and On, artist, Gemma Hayes]
-
A.
Gemma Flynn
Gemma Flynn is a New Zealand former international field hockey player who represented the Black Sticks at multiple Olympic Games.
-
B.
Gemma Craven
Gemma Craven is an Irish-born actress and singer best known for her work in musical theatre and film, including her acclaimed performances on the West End.
-
C.
Gemma Jones
Gemma Jones is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and popular franchises like the Bridget Jones series and the Harry Potter films.
-
D.
Gemma
Gemma is a feminine given name of Italian origin, historically associated with figures such as Gemma Donati, the wife of poet Dante Alighieri.
-
E.
Gemma
Gemma is a novel by Meg Tilly, known for its dark, psychologically intense exploration of trauma and survival.
- 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: Gemma Hayes Triple: [On and On, artist, Gemma Hayes]
Generated description
Gemma Hayes is an Irish singer-songwriter and musician known for her atmospheric indie folk and alternative rock music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gemma Hayes Target entity description: Gemma Hayes is an Irish singer-songwriter and musician known for her atmospheric indie folk and alternative rock music.
-
A.
Gemma Flynn
Gemma Flynn is a New Zealand former international field hockey player who represented the Black Sticks at multiple Olympic Games.
-
B.
Gemma Craven
Gemma Craven is an Irish-born actress and singer best known for her work in musical theatre and film, including her acclaimed performances on the West End.
-
C.
Gemma Jones
Gemma Jones is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and popular franchises like the Bridget Jones series and the Harry Potter films.
-
D.
Gemma
Gemma is a feminine given name of Italian origin, historically associated with figures such as Gemma Donati, the wife of poet Dante Alighieri.
-
E.
Gemma
Gemma is a novel by Meg Tilly, known for its dark, psychologically intense exploration of trauma and survival.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600f992c81908133813f2894dcca |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b881388190a5bcdd87fd10c516 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd2d99c4c8190baf15d470ead7b1c |
completed | May 7, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd3853e848190a210d1c8c08bd6cc |
completed | May 7, 2026, 6:01 p.m. |
Created at: April 9, 2026, 10:22 p.m.