Triple
T12237353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Keane |
E291630
|
entity |
| Predicate | professionalDuty |
P5863
|
FINISHED |
| Object | defend Mrs. Paradine |
—
|
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: defend Mrs. Paradine | Statement: [Anthony Keane, professionalDuty, defend Mrs. Paradine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalDuty Context triple: [Anthony Keane, professionalDuty, defend Mrs. Paradine]
-
A.
professional
chosen
Indicates that one entity has a formal, occupation-related role, service, or expertise in relation to another entity.
-
B.
professionalism
Indicates that an entity consistently behaves, communicates, and performs tasks in a manner that adheres to accepted standards of competence, ethics, and workplace conduct.
-
C.
professionalCompetence
Indicates that one entity possesses the necessary skills, knowledge, and ability to perform a professional role or task to an acceptable standard in relation to another entity or context.
-
D.
professionalWins
Indicates that one entity has achieved a certain number of victories or successes in a professional context, such as in a career, competition, or formal domain.
-
E.
professionalBody
Indicates that an entity is a formal organization that represents, regulates, or supports members of a particular profession.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.