Triple
T30345518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type-Moon |
E771858
|
entity |
| Predicate | roleOfTakashiTakeuchi |
P172932
|
FINISHED |
| Object | illustrator |
—
|
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: illustrator | Statement: [Type-Moon, roleOfTakashiTakeuchi, illustrator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfTakashiTakeuchi Context triple: [Type-Moon, roleOfTakashiTakeuchi, illustrator]
-
A.
roleOfTriciaTakanawa
Indicates that the specified role or function is held or performed by Tricia Takanawa.
-
B.
roleOfFujioMitarai
Indicates the specific role, position, or capacity that Fujio Mitarai holds or has held in relation to another entity or context.
-
C.
AsakaActor
Indicates that an entity serves as an actor or performer in the context of Asaka (e.g., a production, project, or role associated with Asaka).
-
D.
roleOfJaniceMirikitani
Indicates the specific role, position, or function that Janice Mirikitani holds or fulfills in relation to another entity or context.
-
E.
partyRoleOfMinoruYasui
Indicates the specific role or capacity that Minoru Yasui holds or held as a party within a legal or formal proceeding.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: April 29, 2026, 7:55 p.m.