Triple
T7537040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard of Shrewsbury, Duke of York |
E178176
|
entity |
| Predicate | betrothalAge |
P77684
|
FINISHED |
| Object | about 4 years old |
—
|
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: about 4 years old | Statement: [Richard of Shrewsbury, Duke of York, betrothalAge, about 4 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: betrothalAge Context triple: [Richard of Shrewsbury, Duke of York, betrothalAge, about 4 years old]
-
A.
ageAtMarriage
Indicates the age a person was when they got married.
-
B.
acceptsMarriageTo
Indicates that one entity formally agrees to enter into a marriage with another entity.
-
C.
betrothalOrMarriagePlace
Indicates the location where a betrothal or marriage event takes place.
-
D.
typicalAgeAtSelection
Indicates the usual or most common age at which an entity is chosen or selected for a particular role, status, or process.
-
E.
engagedTo
Indicates that two entities are formally committed to marry each other.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84db0c48190b2b3d8c5f802f713 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:48 p.m.