Triple
T22938071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Friedman |
E569639
|
entity |
| Predicate | movementStartInJapan |
P150328
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [Marty Friedman, movementStartInJapan, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementStartInJapan Context triple: [Marty Friedman, movementStartInJapan, early 2000s]
-
A.
startTime (ambassador to Japan)
Indicates the date and time at which a person began serving in the role of ambassador to Japan.
-
B.
introducedToJapan
Indicates that one entity brought or presented another entity into Japan for the first time or for initial exposure there.
-
C.
movedToHokkaido
Indicates that an entity changed their place of residence or primary location to Hokkaido.
-
D.
dateOfIntroductionToJapan
Indicates the date on which something was first introduced or brought into Japan.
-
E.
japanParticipation
Indicates Japan’s involvement or role in a particular event, activity, or organization.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18136bf448190afa04f8b55a8bb6e |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:45 p.m.