Triple
T29264762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eunice Harper Higgins |
E741948
|
entity |
| Predicate | relationshipToMama |
P64797
|
FINISHED |
| Object | long-suffering daughter |
—
|
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: long-suffering daughter | Statement: [Eunice Harper Higgins, relationshipToMama, long-suffering daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMama Context triple: [Eunice Harper Higgins, relationshipToMama, long-suffering daughter]
-
A.
relationshipToMother
chosen
Indicates the specific familial or social connection an entity has to its mother.
-
B.
relationshipToParents
Indicates the type or nature of a person's familial relationship to their parents.
-
C.
relationshipToMary
Indicates that one entity stands in a specified personal or social relationship to Mary.
-
D.
relationToBabo
Indicates a relationship or connection that an entity has to the person or entity referred to as "Babo."
-
E.
relationshipToParent
Indicates the specific familial or social role an entity has in relation to its parent 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a0120f070b081909b6d1a3d8ee6b80e |
completed | May 11, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_6a01209da37481909683e38f264b15ef |
completed | May 11, 2026, 12:19 a.m. |
Created at: April 28, 2026, 12:44 p.m.