Triple
T5520307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horatia Nelson |
E144787
|
entity |
| Predicate | baptisedAs |
P26692
|
FINISHED |
| Object | daughter of Vice-Admiral Charles Thompson |
—
|
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: daughter of Vice-Admiral Charles Thompson | Statement: [Horatia Nelson, baptisedAs, daughter of Vice-Admiral Charles Thompson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baptisedAs Context triple: [Horatia Nelson, baptisedAs, daughter of Vice-Admiral Charles Thompson]
-
A.
baptized
Indicates that one entity performed or underwent the religious rite of baptism in relation to another entity or context.
-
B.
baptismName
chosen
Indicates the name an individual receives or uses specifically in the context of a baptism ceremony.
-
C.
christenedBy
Indicates that an entity received its name or was formally dedicated through a christening performed by another entity.
-
D.
baptismYear
Indicates the calendar year in which an entity’s baptism took place.
-
E.
baptismDate
Indicates the date on which an entity underwent or received the rite of baptism.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f7082ac8190a372fa75e8dec6a4 |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.