Triple
T28974483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth DeWitt Bukater |
E734370
|
entity |
| Predicate | relationshipToRose |
P98486
|
FINISHED |
| Object | controlling mother |
—
|
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: controlling mother | Statement: [Ruth DeWitt Bukater, relationshipToRose, controlling mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToRose Context triple: [Ruth DeWitt Bukater, relationshipToRose, controlling mother]
-
A.
relationshipToRoseFamily
Indicates the specific familial or relational connection an entity has to the Rose family.
-
B.
relationshipToRose Castorini
chosen
Indicates the specific familial, romantic, or social relationship that one entity has to Rose Castorini.
-
C.
relationshipToMary
Indicates that one entity stands in a specified personal or social relationship to Mary.
-
D.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
E.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a00ab25c5b48190ad07ff508392ef56 |
completed | May 10, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_6a00a8a5cfc48190bbe97fb2bbd1b947 |
completed | May 10, 2026, 3:47 p.m. |
Created at: April 28, 2026, 9:07 a.m.