Triple
T5017807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epic Systems |
E112774
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Judith Faulkner |
E504622
|
NE 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: Judith Faulkner | Statement: [Epic Systems, hasKeyPerson, Judith Faulkner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judith Faulkner Context triple: [Epic Systems, hasKeyPerson, Judith Faulkner]
-
A.
Judith Faulkner
chosen
Judith Faulkner is an American billionaire businesswoman and software engineer best known as the founder and longtime CEO of Epic Systems, one of the largest healthcare software companies in the world.
-
B.
Judith Jasmin
Judith Jasmin was a pioneering Québécoise journalist and broadcaster, widely regarded as one of the most important figures in the history of journalism in Quebec.
-
C.
Judith Henry
Judith Henry was a civilian widow whose home became a focal point of the First Battle of Bull Run during the American Civil War, where she was killed by artillery fire.
-
D.
Judith Wheler
Judith Wheler was the mother of British abolitionist and social reformer Granville Sharp.
-
E.
Judith Bowles
Judith Bowles is the mother of American actress and comedian Julia Louis-Dreyfus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd734037a88190a950db814412a023 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf069d371c81909d87432f6bd2d506 |
completed | March 21, 2026, 8:59 p.m. |
Created at: March 20, 2026, 1:35 p.m.