Triple
T30609463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenny Lee |
E779136
|
entity |
| Predicate | introducedViewersTo |
P513
|
FINISHED |
| Object | world of East End nursing |
—
|
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: world of East End nursing | Statement: [Jenny Lee, introducedViewersTo, world of East End nursing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedViewersTo Context triple: [Jenny Lee, introducedViewersTo, world of East End nursing]
-
A.
oftenIntroducedBy
Indicates that one entity is frequently presented, mentioned, or brought into context by another entity.
-
B.
introduced
chosen
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
C.
introducedToAudienceAs
Indicates that one entity is formally presented or announced to an audience as another specified role, identity, or description.
-
D.
wereIntroducedBy
Indicates that one entity became known, presented, or brought to the attention of another entity through the action or mediation of a third party.
-
E.
introducedTo
Indicates that one entity caused or facilitated a first meeting or formal presentation between another entity and a third party.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 29, 2026, 8:26 p.m.