Triple
T23538586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Charles |
E577674
|
entity |
| Predicate | relationshipToCharlotteCharles |
P152723
|
FINISHED |
| Object | legal 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: legal aunt | Statement: [Lily Charles, relationshipToCharlotteCharles, legal aunt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToCharlotteCharles Context triple: [Lily Charles, relationshipToCharlotteCharles, legal aunt]
-
A.
relationshipToNickCharles
Indicates a specified type of personal or social relationship that an entity has with Nick Charles.
-
B.
relationshipToCharlesV
Indicates the specific familial or social relationship that one entity has to Charles V.
-
C.
relationshipTypeWithCharlesBoyle
Indicates the specific nature or category of the relationship an entity has with Charles Boyle.
-
D.
relationshipToCarolineCompson
Indicates the specific familial or social relationship that an entity has to Caroline Compson.
-
E.
relationshipToLouisXVI
Indicates the specific familial, marital, or social relationship that an entity has to Louis XVI.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae19473881909aa65f9d36744502 |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:10 p.m.