Triple
T25804422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Avery |
E649925
|
entity |
| Predicate | childRelationship |
P93488
|
FINISHED |
| Object | father of Daniel Avery |
—
|
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: father of Daniel Avery | Statement: [Tom Avery, childRelationship, father of Daniel Avery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childRelationship Context triple: [Tom Avery, childRelationship, father of Daniel Avery]
-
A.
parentRelationship
Indicates a familial relationship in which one entity is the parent of another entity.
-
B.
relationshipToChildren
chosen
Indicates the type of familial or social connection an entity has to one or more children.
-
C.
relationshipToParents
Indicates the type or nature of a person's familial relationship to their parents.
-
D.
childInFamily
Indicates that one entity is a child member within the family unit defined by the other entity.
-
E.
relationshipToYoungerFamily
Indicates a familial relationship where one person is related to another who is younger in age within the family.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffcdc66c8190a7aa2f1bdfe01f98 |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:01 a.m.