Triple
T19465111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Ellen Sullivan |
E486972
|
entity |
| Predicate | hasNoWidelyKnownPublicCareer |
P136025
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mary Ellen Sullivan, hasNoWidelyKnownPublicCareer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoWidelyKnownPublicCareer Context triple: [Mary Ellen Sullivan, hasNoWidelyKnownPublicCareer, true]
-
A.
hasNotableAchievements
Indicates that the subject possesses significant accomplishments, distinctions, or recognitions that are considered noteworthy.
-
B.
hasSoloCareer
Indicates that an individual has pursued a musical or artistic career independently, separate from any group or band affiliations.
-
C.
hasNotableNamesakeContribution
Indicates that an entity has made a significant contribution specifically related to or inspired by its notable namesake.
-
D.
hasNotableProfessionField
Indicates that an entity’s notable profession or occupation belongs to a particular professional field or domain.
-
E.
hasWidelyRecognizedPublicRole
Indicates that an entity holds a public position or function that is broadly known and acknowledged by the general public.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633d0fe3c8190b637f78bfad704d0 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:39 p.m.