Triple
T32561226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace MacLean |
E832229
|
entity |
| Predicate | relationshipTypeWithAnnie MacLean |
P206312
|
FINISHED |
| Object | daughter |
—
|
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: daughter | Statement: [Grace MacLean, relationshipTypeWithAnnie MacLean, daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithAnnie MacLean Context triple: [Grace MacLean, relationshipTypeWithAnnie MacLean, daughter]
-
A.
relationshipTypeWithAnnShankland
Indicates the specific type or nature of the relationship that an entity has with Ann Shankland.
-
B.
relationshipTypeWithGingerMcKenna
Indicates the specific nature or category of relationship an entity has with Ginger McKenna.
-
C.
relationshipWithAnnShankland
Indicates that an entity has some form of personal or professional relationship with Ann Shankland.
-
D.
relationshipToAnne
Indicates the specific familial, social, or interpersonal connection that one entity has to Anne.
-
E.
relationshipToMacCory
Indicates the specific type of relationship or connection an entity has to MacCory.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:03 a.m.