Triple
T32558285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie Huntington-Whiteley |
E832149
|
entity |
| Predicate | paternalGreatGrandchildOf |
P107455
|
FINISHED |
| Object | Charles Huntington-Whiteley, 5th Baronet |
—
|
NE NERFINISHED |
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: Charles Huntington-Whiteley, 5th Baronet | Statement: [Rosie Huntington-Whiteley, paternalGreatGrandchildOf, Charles Huntington-Whiteley, 5th Baronet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paternalGreatGrandchildOf Context triple: [Rosie Huntington-Whiteley, paternalGreatGrandchildOf, Charles Huntington-Whiteley, 5th Baronet]
-
A.
paternalGreatGrandparentOf
Indicates that one person is the father of another person’s grandparent, making him that person’s paternal great-grandparent.
-
B.
paternalGreatGrandfatherOf
chosen
Indicates that one person is the father of another person's paternal grandfather.
-
C.
paternalGrandchildOf
Indicates that one entity is the grandchild of another through the latter’s son (i.e., via the paternal line).
-
D.
paternalGreatGrandmother
Indicates that one entity is the father’s father’s mother of another entity.
-
E.
maternalGrandfatherOf
Indicates that one person is the father of another person's mother.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:03 a.m.