Triple
T32669517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baroness Morgan of Cotes |
E835249
|
entity |
| Predicate | titleHolderHasChild |
P124094
|
FINISHED |
| Object | 1 son |
—
|
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: 1 son | Statement: [Baroness Morgan of Cotes, titleHolderHasChild, 1 son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderHasChild Context triple: [Baroness Morgan of Cotes, titleHolderHasChild, 1 son]
-
A.
titleHolderChild
Indicates that one entity is the child of another entity who holds a specific title or position.
-
B.
titleHolderIsEldestChildOf
Indicates that the person holding a particular title is the oldest child within their family or lineage.
-
C.
titleHolderIsDescendantOf
Indicates that the current holder of a title is a descendant of a specified ancestor or previous title holder.
-
D.
titleHolderChildrenCount
chosen
Indicates the number of children associated with the entity that holds a particular title.
-
E.
titleHolderFirstChild
Indicates that the subject is the first child of the current or specified title holder.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 1:09 a.m.