Triple
T37133059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinando Gonzaga |
E919576
|
entity |
| Predicate | reignStartAsDukeOfMontferrat |
P193161
|
FINISHED |
| Object | 1612 |
—
|
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: 1612 | Statement: [Ferdinando Gonzaga, reignStartAsDukeOfMontferrat, 1612]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignStartAsDukeOfMontferrat Context triple: [Ferdinando Gonzaga, reignStartAsDukeOfMontferrat, 1612]
-
A.
reignStartAsDukeOfMantua
Indicates the date or event marking when an individual began their reign holding the title of Duke of Mantua.
-
B.
reignAsDukeFrom
Indicates that an entity holds and exercises the title and authority of duke over a domain starting from a specified time.
-
C.
reignAsDukeOfLorraineStart
Indicates the time at which an individual begins their tenure reigning as Duke of Lorraine.
-
D.
reignStartAsDukeOfNormandy
Indicates the date or point in time when an individual began their rule holding the title of Duke of Normandy.
-
E.
reignAsDukeOfBrittanyStart
Indicates the point in time when an individual begins their tenure or rule as the Duke of Brittany.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: May 3, 2026, 4:15 p.m.