Triple
T13061104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Gabriella of Monaco |
E329196
|
entity |
| Predicate | youngerOrOlderThanTwin |
P85476
|
FINISHED |
| Object | older |
—
|
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: older | Statement: [Princess Gabriella of Monaco, youngerOrOlderThanTwin, older]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngerOrOlderThanTwin Context triple: [Princess Gabriella of Monaco, youngerOrOlderThanTwin, older]
-
A.
isTwinWith
Indicates that two entities are twins, sharing the same birth parents and being born at (or very near) the same time.
-
B.
hasTwin
Indicates that one entity is a twin of another, sharing the same birth event or time with a sibling.
-
C.
youngerSibling
chosen
Indicates that one entity is the younger sibling of another in a family or sibling relationship.
-
D.
isOlderBrotherOf
Indicates that one male sibling is older than and brother to another person.
-
E.
twinType
Indicates that one entity is classified as a specific type or category of twin in relation to another entity.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 8:59 p.m.