Triple
T36806162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir George Crofts |
E909456
|
entity |
| Predicate | relationshipToVivieWarren |
P205061
|
FINISHED |
| Object | suitor |
—
|
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: suitor | Statement: [Sir George Crofts, relationshipToVivieWarren, suitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToVivieWarren Context triple: [Sir George Crofts, relationshipToVivieWarren, suitor]
-
A.
relationshipToLavinia
Indicates the nature or type of relationship an entity has with Lavinia.
-
B.
relationshipToNina
Indicates that one entity has a specified personal or social relationship to Nina.
-
C.
relationshipToVanessa
Indicates the specific type of personal or social relationship that an entity has with Vanessa.
-
D.
relationshipTypeWithVashti
Indicates the specific nature or category of the relationship an entity has with Vashti.
-
E.
relationshipToVickiStubing
Indicates the specific type of personal or social relationship an entity has to Vicki Stubing.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.