Triple
T30349104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls Dead Monster |
E771941
|
entity |
| Predicate | performedByRealWorldArtist |
P99042
|
FINISHED |
| Object |
marina
Marina is a Japanese singer and vocalist best known for performing songs for anime and visual novel projects, including work associated with the fictional band Girls Dead Monster from the series Angel Beats!.
|
E1910144
|
NE FINISHED |
How this triple was built (3 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: marina | Statement: [Girls Dead Monster, performedByRealWorldArtist, marina]
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: marina Triple: [Girls Dead Monster, performedByRealWorldArtist, marina]
Generated description
Marina is a Japanese singer and vocalist best known for performing songs for anime and visual novel projects, including work associated with the fictional band Girls Dead Monster from the series Angel Beats!.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedByRealWorldArtist Context triple: [Girls Dead Monster, performedByRealWorldArtist, marina]
-
A.
realWorldPerformer
chosen
Indicates that an entity serves as the actual, real-world performer of an action, role, or content represented in another entity.
-
B.
performedBy
Indicates that an action, task, or event is carried out or executed by a specified agent or entity.
-
C.
representsArtist
Indicates that one entity serves as the artistic representative or agent for another artist entity.
-
D.
recordedWithArtist
Indicates that one artist participated in a recording together with another artist.
-
E.
hasFictionalPerformer
Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
- F. None of above.
Provenance (6 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a277c2b30008190bfe6c3ea7d68a44c |
completed | June 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_6a277d09f32c8190a75331cdfafd9456 |
completed | June 9, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a277dc406308190a2e54214a8851a14 |
completed | June 9, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 29, 2026, 7:56 p.m.