Triple
T37247107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabina |
E923886
|
entity |
| Predicate | relationshipToGladysAntrobus |
P205795
|
FINISHED |
| Object | servant in the same household |
—
|
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: servant in the same household | Statement: [Sabina, relationshipToGladysAntrobus, servant in the same household]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGladysAntrobus Context triple: [Sabina, relationshipToGladysAntrobus, servant in the same household]
-
A.
hasRelationshipToGladysGreen
Indicates that one entity has a specified type of relationship or connection to the entity named Gladys Green.
-
B.
relationshipTypeWithGlendaParks
Indicates the specific nature or category of relationship that an entity has with Glenda Parks.
-
C.
relationshipToGeraldArbuthnot
Indicates the specific familial, social, or interpersonal connection that an entity has to Gerald Arbuthnot.
-
D.
relationshipToGeorgeAndMartha
Indicates the specific familial, social, or other relational connection that an entity has to the pair George and Martha considered together.
-
E.
relationshipToBarnabasCollins
Indicates the type or nature of a subject’s personal or familial connection to Barnabas Collins.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:15 p.m.