Triple
T8672019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fevers and Mirrors |
E205818
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Arienette
"Arienette" is a song by Bright Eyes, known for its introspective lyrics and emotionally raw indie folk sound.
|
E749474
|
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: Arienette | Statement: [Fevers and Mirrors, track, Arienette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arienette Context triple: [Fevers and Mirrors, track, Arienette]
-
A.
Anastasie
Anastasie is the given name of Anastasie de Lafayette, a French noblewoman associated with the influential Lafayette family.
-
B.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
C.
Arlette
Arlette, also known as Herleva of Falaise, was the mother of William the Conqueror and a key figure in the early life of the first Norman king of England.
-
D.
Tonia
Tonia is a feminine given name, typically used as a short form of Antonia.
-
E.
Marcelle
Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
- 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: Arienette Triple: [Fevers and Mirrors, track, Arienette]
Generated description
"Arienette" is a song by Bright Eyes, known for its introspective lyrics and emotionally raw indie folk sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arienette Target entity description: "Arienette" is a song by Bright Eyes, known for its introspective lyrics and emotionally raw indie folk sound.
-
A.
Anastasie
Anastasie is the given name of Anastasie de Lafayette, a French noblewoman associated with the influential Lafayette family.
-
B.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
C.
Arlette
Arlette, also known as Herleva of Falaise, was the mother of William the Conqueror and a key figure in the early life of the first Norman king of England.
-
D.
Tonia
Tonia is a feminine given name, typically used as a short form of Antonia.
-
E.
Marcelle
Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491a34d08190b0795079d192a03d |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd3a3c5c8190940a61e7e7b3e887 |
completed | April 2, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69cece8fcbcc8190832a66287bc8f833 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecff76a7c81909e3db785292eefee |
completed | April 2, 2026, 8:22 p.m. |
Created at: March 30, 2026, 6:31 p.m.