Triple
T5342291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Connelly |
E123970
|
entity |
| Predicate | startOfProfessionalActingCareer |
P45002
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Jennifer Connelly, startOfProfessionalActingCareer, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfProfessionalActingCareer Context triple: [Jennifer Connelly, startOfProfessionalActingCareer, 1980s]
-
A.
startedActingCareer
chosen
Indicates that an entity began their professional work or involvement in acting at a specific time or event.
-
B.
startedCareerAsChildActor
Indicates that a person began their professional career in acting during childhood.
-
C.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
D.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
E.
startTimeOfNotableRole
Indicates the point in time when an entity began a notable role, position, or function.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.