Triple
T14780506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rickon Stark |
E347376
|
entity |
| Predicate | ageOrderInFamily |
P20593
|
FINISHED |
| Object | youngest son of Eddard and Catelyn Stark |
—
|
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: youngest son of Eddard and Catelyn Stark | Statement: [Rickon Stark, ageOrderInFamily, youngest son of Eddard and Catelyn Stark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOrderInFamily Context triple: [Rickon Stark, ageOrderInFamily, youngest son of Eddard and Catelyn Stark]
-
A.
positionInFamilyBirthOrder
chosen
Indicates the relative order in which a person was born within their family (e.g., first-born, middle child, last-born).
-
B.
ageAtBirthOfChildren
Indicates the age a parent was at the time each of their children was born.
-
C.
childInFamily
Indicates that one entity is a child member within the family unit defined by the other entity.
-
D.
numberOfAges
Indicates the count of distinct ages associated with an entity or within a specified group or context.
-
E.
rankWithinKazoku
Indicates the hierarchical position or status an individual holds within the Kazoku (Japanese peerage) nobility system.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9c7cac8190ba900df95e42e318 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.