Triple
T24030122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Atsuko Ikeda |
E595076
|
entity |
| Predicate | afterMarriageName |
P99359
|
FINISHED |
| Object | Atsuko Ikeda |
—
|
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: Atsuko Ikeda | Statement: [Princess Atsuko Ikeda, afterMarriageName, Atsuko Ikeda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterMarriageName Context triple: [Princess Atsuko Ikeda, afterMarriageName, Atsuko Ikeda]
-
A.
laterMarriedName
chosen
Indicates that the referenced name is a surname or full name a person adopted after a later marriage, replacing or succeeding their previous name.
-
B.
marriedAfter
Indicates that one marriage occurred later in time than another specified marriage.
-
C.
hasMarriedSurname
Indicates that a person’s current surname is the one they adopted through marriage.
-
D.
spouseLaterMarriedBy
Indicates that one’s spouse subsequently entered into a later marriage with another partner.
-
E.
spouseNameAtMarriage
Indicates the full name a person’s spouse had at the time of their marriage.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76fbedc8190a2f936729cb69993 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:55 p.m.