Triple
T13417141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seán Mac Eoin |
E313241
|
entity |
| Predicate | professionBeforePolitics |
P109825
|
FINISHED |
| Object | blacksmith |
—
|
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: blacksmith | Statement: [Seán Mac Eoin, professionBeforePolitics, blacksmith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionBeforePolitics Context triple: [Seán Mac Eoin, professionBeforePolitics, blacksmith]
-
A.
professionOfCandidate
Indicates that one entity is the profession or occupational role held by the candidate entity.
-
B.
leftProfession
Indicates that an entity has stopped or abandoned a particular profession or occupation they previously held.
-
C.
professionalCategory
Indicates the classification of an entity according to its professional field, role, or occupational domain.
-
D.
politicalOrSocialRole
Indicates that an entity holds or is associated with a specific political or social position, function, or status within a group or society.
-
E.
occupationAspiration
Indicates a person's desired or intended future occupation or career goal.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:39 p.m.