Triple
T6492541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand de Marsin |
E148075
|
entity |
| Predicate | appointedMarshalOfFrance |
P62781
|
FINISHED |
| Object | 1703 |
—
|
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: 1703 | Statement: [Ferdinand de Marsin, appointedMarshalOfFrance, 1703]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedMarshalOfFrance Context triple: [Ferdinand de Marsin, appointedMarshalOfFrance, 1703]
-
A.
promotedToMarshalOfFrance
chosen
Indicates that a person has been elevated or appointed to the rank or office of Marshal of France.
-
B.
monarchOfFrenchSide
Indicates that one entity serves as the ruling monarch over the French side or faction in a given context or domain.
-
C.
wasCommandantOf
Indicates that one entity served as the commandant (chief commanding officer) of another entity, typically a military unit, institution, or facility.
-
D.
militaryLeader
Indicates that one entity serves as the commanding military leader of another entity, such as a state, organization, or armed force.
-
E.
royalistLeader
Indicates that one entity is the leader of a royalist faction, movement, or cause in relation to another entity.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.