Triple
T8817224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garland family |
E209808
|
entity |
| Predicate | hasLineageThrough |
P77522
|
FINISHED |
| Object | Judy Garland's children |
—
|
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: Judy Garland's children | Statement: [Garland family, hasLineageThrough, Judy Garland's children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLineageThrough Context triple: [Garland family, hasLineageThrough, Judy Garland's children]
-
A.
hasLineageStructure
Indicates that an entity participates in or exhibits a hierarchical ancestry or lineage-based structural relationship to other entities.
-
B.
hasLineageMember
chosen
Indicates that one entity is a member or descendant within the lineage or ancestral line of another entity.
-
C.
hasLineageDocumentedIn
Indicates that the lineage or ancestry of an entity is recorded or evidenced in a specified document or source.
-
D.
hasLeaderLineage
Indicates that an entity’s lineage or ancestry includes one or more individuals who have held a leadership role.
-
E.
isLineageType
Indicates that one entity represents a type or category within the lineage or ancestral line of 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600bd8a88190ad891a96201d796b |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.