Triple
T32778480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Évreux |
E838284
|
entity |
| Predicate | monarchOverlord |
P166886
|
FINISHED |
| Object | King of France |
—
|
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: King of France | Statement: [Count of Évreux, monarchOverlord, King of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchOverlord Context triple: [Count of Évreux, monarchOverlord, King of France]
-
A.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
B.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
C.
monarchIs
chosen
Indicates that one entity serves as the ruling monarch (such as king, queen, or equivalent sovereign) of another entity, typically a state or territory.
-
D.
monarchOfFuture
Indicates that an entity is destined or expected to become the monarch (ruler) of another entity at a future time.
-
E.
monarchWhoGrants
Indicates a relationship where a monarch bestows, confers, or grants something (such as rights, titles, lands, or privileges) to another party.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:13 a.m.