Triple
T23407547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy |
E559975
|
entity |
| Predicate | isBaptismalNameOf |
P26692
|
FINISHED |
| Object | Moon Jae-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: Moon Jae-in | Statement: [Timothy, isBaptismalNameOf, Moon Jae-in]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBaptismalNameOf Context triple: [Timothy, isBaptismalNameOf, Moon Jae-in]
-
A.
baptismName
chosen
Indicates the name an individual receives or uses specifically in the context of a baptism ceremony.
-
B.
biblicalName
Indicates that one entity is the name of a person, place, or concept as it appears in the Bible.
-
C.
christenedBy
Indicates that an entity received its name or was formally dedicated through a christening performed by another entity.
-
D.
isPraenomenOf
Indicates that a given personal name functions as the praenomen (given name) of a specific individual.
-
E.
baptismAssociatedWith
Indicates a relationship in which an entity is connected or related to a baptism event, such as by participation, performance, location, or contextual association.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a50f3f90819084fb682597fee1e1 |
completed | April 29, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:38 p.m.