Triple
T38267782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Note: New Generation |
E1021112
|
entity |
| Predicate | hasNewCases |
P202848
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 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: true | Statement: [Death Note: New Generation, hasNewCases, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNewCases Context triple: [Death Note: New Generation, hasNewCases, true]
-
A.
numberOfSuspectedCases
Indicates the quantity of cases that are believed or suspected to exist but are not yet confirmed.
-
B.
hasNewProduction
Indicates that a new instance or version of a production (such as a manufactured item, media work, or process) has been created or is now associated with the referenced entity.
-
C.
hasNewTown
Indicates that an entity is associated with, or has established, a newly created town.
-
D.
hasCase
Indicates that one entity is involved in, associated with, or characterized by a particular case, instance, or occurrence represented by another entity.
-
E.
hasNewCharacters
Indicates that something introduces or includes characters that were not previously present or known.
- F. None of above. chosen
Provenance (4 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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00c486d394819084fe93d5bb11ea1e |
completed | May 10, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_6a00c39d99d48190a94bfa057213499c |
completed | May 10, 2026, 5:42 p.m. |
| PDg | Predicate description generation | batch_6a00c48622b08190910d4dbc6db94c10 |
completed | May 10, 2026, 5:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.