Triple
T18544300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | aedile |
E453181
|
entity |
| Predicate | followedByInCareer |
P6709
|
FINISHED |
| Object | praetor |
—
|
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: praetor | Statement: [aedile, followedByInCareer, praetor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByInCareer Context triple: [aedile, followedByInCareer, praetor]
-
A.
followedByRoleInCareerOf
chosen
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
B.
followsCareerFrom
Indicates that one entity pursues or traces the professional path or career trajectory originating from or modeled after another entity.
-
C.
precedesInCareer
Indicates that one entity’s role, position, or stage in a professional path occurs earlier in time than another entity’s corresponding role, position, or stage in that same career trajectory.
-
D.
followedByInFilm
Indicates that one scene, shot, or event in a film immediately succeeds another in the narrative or editing sequence.
-
E.
associatedWithCareerOf
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b935c48190a34b17eeae4fd583 |
completed | April 19, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.