Triple
T5648742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Cadorna |
E124447
|
entity |
| Predicate | appointedChiefOfStaff |
P8527
|
FINISHED |
| Object | 1914 |
—
|
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: 1914 | Statement: [Luigi Cadorna, appointedChiefOfStaff, 1914]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedChiefOfStaff Context triple: [Luigi Cadorna, appointedChiefOfStaff, 1914]
-
A.
chiefOfStaff
chosen
Indicates that one entity serves as the chief of staff for another entity, typically managing operations and coordinating activities on its behalf.
-
B.
precededInOfficeAsChiefOfStaff
Indicates that one person previously held the position of Chief of Staff immediately before another person in the same office.
-
C.
appointedByOffice
Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
-
D.
succeededBy (Acting White House Chief of Staff)
Indicates that one individual who served as Acting White House Chief of Staff was followed in that role by another specific individual.
-
E.
appointedFrom
Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d1534c8190ac4828e44300fb91 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.