Triple
T25519994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodai-in |
E639619
|
entity |
| Predicate | titleAfterOrdination |
P169521
|
FINISHED |
| Object | Kodai-in |
—
|
NE NERFINISHED |
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: Kodai-in | Statement: [Kodai-in, titleAfterOrdination, Kodai-in]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleAfterOrdination Context triple: [Kodai-in, titleAfterOrdination, Kodai-in]
-
A.
titleAfterBeatification
Indicates the formal title or honorific that a person holds specifically after being beatified.
-
B.
titleAfterSecularization
Indicates that the specified title is the one held by an entity after a process of secularization has taken place.
-
C.
titleHeldAfter
Indicates that one entity held a particular title or position after another entity, establishing a temporal succession in holding that title.
-
D.
titleAfterName
Indicates that a person’s title or honorific is written after their name rather than before it.
-
E.
ordainedLaterKnownAs
Indicates that an entity was ordained under one name or identity and later became known by a different name or identity.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 21, 2026, 2:59 p.m.