Triple
T11983587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Maitland |
E285218
|
entity |
| Predicate | relationshipWithLydiaDeetz |
P94373
|
FINISHED |
| Object | surrogate mother figure |
—
|
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: surrogate mother figure | Statement: [Barbara Maitland, relationshipWithLydiaDeetz, surrogate mother figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithLydiaDeetz Context triple: [Barbara Maitland, relationshipWithLydiaDeetz, surrogate mother figure]
-
A.
relationshipWithLydia
chosen
Indicates that an entity has some form of relationship or connection with Lydia.
-
B.
relationshipToLilyDale
Indicates a relationship that an entity has with Lily Dale, specifying how it is connected or related to Lily Dale.
-
C.
relationshipToTess
Indicates the specific type of relationship or connection that an entity has to Tess.
-
D.
relationshipToLaurie
Indicates the specific type of relationship or connection that an entity has to Laurie.
-
E.
relationshipToLenore
Indicates the nature or type of relationship an entity has with Lenore.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.