Triple
T30568756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abby Brewster |
E778061
|
entity |
| Predicate | relationshipToMortimer |
P204096
|
FINISHED |
| Object | paternal aunt |
—
|
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: paternal aunt | Statement: [Abby Brewster, relationshipToMortimer, paternal aunt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMortimer Context triple: [Abby Brewster, relationshipToMortimer, paternal aunt]
-
A.
relationshipToMerricat
Indicates the type or nature of a person or entity’s relationship to Merricat.
-
B.
relationshipToEleanorVance
Indicates the specific nature or type of relationship an entity has with Eleanor Vance.
-
C.
heraldicRelationship
Indicates a relationship between entities expressed through heraldic symbolism, such as coats of arms, crests, or heraldic devices.
-
D.
relationshipToEarlJr
Indicates the specific familial or social relationship that an entity has to Earl Jr.
-
E.
relationshipToPosthumus
Indicates the type or nature of a person's relationship to the individual named Posthumus.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a03232efd8481908ee25447a29ee20b |
completed | May 12, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_6a032269dcb08190907c965c28145b77 |
completed | May 12, 2026, 12:51 p.m. |
| PDg | Predicate description generation | batch_6a03232e53788190abf17396e8d02dbf |
completed | May 12, 2026, 12:55 p.m. |
Created at: April 29, 2026, 8:21 p.m.