Triple
T2091399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry III of France |
E32677
|
entity |
| Predicate | reignAsKingOfPolandEnd |
P34664
|
FINISHED |
| Object | 1575-05-12 |
—
|
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: 1575-05-12 | Statement: [Henry III of France, reignAsKingOfPolandEnd, 1575-05-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsKingOfPolandEnd Context triple: [Henry III of France, reignAsKingOfPolandEnd, 1575-05-12]
-
A.
successorAsKingOfBohemia
Indicates that one person became the next king of Bohemia after another person.
-
B.
reignAsKingOfFranceEnd
Indicates the time or event at which an individual's reign as King of France comes to an end.
-
C.
reignAsKingOfItalyEnd
Indicates the point in time or event at which an individual's reign as King of Italy comes to an end.
-
D.
reignAsGrandDukeOfTuscanyEnd
Indicates the time or event at which an individual’s tenure as Grand Duke of Tuscany comes to an end.
-
E.
reignAsKingOfSardiniaEnd
Indicates the time or event at which an individual’s reign as King of Sardinia comes to an end.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba7626d081908c9c0f18942e128d |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:43 p.m.