Triple
T2352097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tate |
E47469
|
entity |
| Predicate | parentalRelationship |
P10690
|
FINISHED |
| Object | estranged from Laurie Strode at start of film |
—
|
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: estranged from Laurie Strode at start of film | Statement: [John Tate, parentalRelationship, estranged from Laurie Strode at start of film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalRelationship Context triple: [John Tate, parentalRelationship, estranged from Laurie Strode at start of film]
-
A.
spouseParentage
Indicates that one entity is a parent of the other entity’s spouse.
-
B.
parentageIncludes
Indicates that a given parentage or lineage set contains or encompasses a particular parent or ancestral relationship.
-
C.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
historicalRelationship
Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
-
E.
stepfatherOf
Indicates that one person is the male spouse or partner of a child's parent, but is not the child's biological or adoptive father.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:54 p.m.