Triple
T25942934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Henry of Battenberg |
E653755
|
entity |
| Predicate | spouseBirthDate |
P93066
|
FINISHED |
| Object | 1858-10-05 |
—
|
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: 1858-10-05 | Statement: [Princess Henry of Battenberg, spouseBirthDate, 1858-10-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseBirthDate Context triple: [Princess Henry of Battenberg, spouseBirthDate, 1858-10-05]
-
A.
spouseDateOfBirth
chosen
Indicates the date of birth of a person’s spouse in the relationship.
-
B.
spouseBirthName
Indicates the birth name of a person's spouse, prior to any name changes such as through marriage.
-
C.
spouseOfSince
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
-
D.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
-
E.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 22, 2026, 8:41 a.m.