Triple
T29854309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon Inc. |
E758144
|
entity |
| Predicate | roleOfFujioMitarai |
P171572
|
FINISHED |
| Object | Chairman and CEO |
—
|
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: Chairman and CEO | Statement: [Canon Inc., roleOfFujioMitarai, Chairman and CEO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfFujioMitarai Context triple: [Canon Inc., roleOfFujioMitarai, Chairman and CEO]
-
A.
roleOfJaniceMirikitani
Indicates the specific role, position, or function that Janice Mirikitani holds or fulfills in relation to another entity or context.
-
B.
partyRoleOfMinoruYasui
Indicates the specific role or capacity that Minoru Yasui holds or held as a party within a legal or formal proceeding.
-
C.
MasamuneRole
Indicates that an entity holds a specific role or function in relation to Masamune.
-
D.
hasMidoriNoMadoguchi
Indicates that an entity (typically a train station) is equipped with a "Midori no Madoguchi" staffed ticket office or service counter.
-
E.
founderInJapan
Indicates that an entity is the founder of something (such as an organization or company) specifically in Japan.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 5:45 p.m.