Triple
T16569868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duc de Magenta |
E402555
|
entity |
| Predicate | titleHolderChildrenCount |
P124094
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Duc de Magenta, titleHolderChildrenCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderChildrenCount Context triple: [Duc de Magenta, titleHolderChildrenCount, 4]
-
A.
titleHolderChild
Indicates that one entity is the child of another entity who holds a specific title or position.
-
B.
titleHolderFirstChild
Indicates that the subject is the first child of the current or specified title holder.
-
C.
titleCount
Indicates the number of distinct titles associated with an entity within a given context.
-
D.
titleHolderIsEldestChildOf
Indicates that the person holding a particular title is the oldest child within their family or lineage.
-
E.
titleHolderUnder
Indicates that one entity holds a title, position, or rank under the authority, jurisdiction, or hierarchy of another entity.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359580f548190a21afd148bc22d8d |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.