Triple
T17806000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judith Hutter |
E444558
|
entity |
| Predicate | relationshipToHettyHutter |
P128990
|
FINISHED |
| Object | protective sister |
—
|
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: protective sister | Statement: [Judith Hutter, relationshipToHettyHutter, protective sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToHettyHutter Context triple: [Judith Hutter, relationshipToHettyHutter, protective sister]
-
A.
relationshipToHettySorrel
Indicates the specific nature of a person's relationship or connection to Hetty Sorrel.
-
B.
relationshipToSilasMarner
Indicates the specific familial, social, or emotional connection that one entity has to Silas Marner.
-
C.
relationshipTypeWithAibileenClark
Indicates the specific type or nature of the relationship that an entity has with Aibileen Clark.
-
D.
relationshipToMaJoad
Indicates the specific familial or interpersonal relationship an entity has with Ma Joad.
-
E.
relationshipToMissWatson
Indicates the type or nature of a person's relational connection to Miss Watson (e.g., familial, social, or other defined relationship).
- F. None of above. chosen
Provenance (4 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880385b48190b8dea0f05dfa1300 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:14 a.m.