Triple
T38267781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Note: New Generation |
E1021112
|
entity |
| Predicate | hasNewCharacters |
P202838
|
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, hasNewCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNewCharacters Context triple: [Death Note: New Generation, hasNewCharacters, true]
-
A.
hasCharacters
Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
-
B.
hasHumanCharacters
Indicates that the subject includes or features characters that are human beings.
-
C.
hasCurrentCharacter
Indicates that an entity is associated with or possesses a specific character that is currently active or in use.
-
D.
hasNewVerses
Indicates that an entity includes or is associated with additional, more recently created verses beyond an earlier or original set.
-
E.
hasNewVersesBy
Indicates that one entity (such as a publication or edition) includes newly added verses created by another entity (such as an author or contributor).
- 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_6a00c3362dcc819096e49b882709fddd |
completed | May 10, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_6a00c2e5cdd88190a5f2d0f6a843cd56 |
completed | May 10, 2026, 5:39 p.m. |
| PDg | Predicate description generation | batch_6a00c3355498819088253d5e5c17267f |
completed | May 10, 2026, 5:41 p.m. |
Created at: May 3, 2026, 4:30 p.m.