Triple
T18578751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reset |
E454051
|
entity |
| Predicate | narrativeRoleOfToshikoSato |
P83930
|
FINISHED |
| Object | central investigative character |
—
|
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: central investigative character | Statement: [Reset, narrativeRoleOfToshikoSato, central investigative character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeRoleOfToshikoSato Context triple: [Reset, narrativeRoleOfToshikoSato, central investigative character]
-
A.
JapaneseMission
Indicates a mission, delegation, or official undertaking that is specifically associated with Japan or originates from Japanese authorities or organizations.
-
B.
roleOfTriciaTakanawa
Indicates that the specified role or function is held or performed by Tricia Takanawa.
-
C.
narrativeCharacter
Indicates that one entity functions as a character within the narrative or story associated with another entity.
-
D.
narrativeRoleInSeries
chosen
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
-
E.
narratesAs
Indicates that one entity tells, recounts, or presents a story, event, or information in the manner, style, or voice of another entity.
- F. None of above.
Provenance (3 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543ce63188190b14a37c5ca9c2726 |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.