Triple
T23911260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjoe Gortner |
E601943
|
entity |
| Predicate | beganActingCareer |
P45002
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Marjoe Gortner, beganActingCareer, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganActingCareer Context triple: [Marjoe Gortner, beganActingCareer, 1970s]
-
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.
beganModelingCareer
Indicates that an entity started or initiated their professional modeling career at a particular time or under certain circumstances.
-
D.
beganBroadcastingCareer
Indicates that an entity started or initiated its professional career in broadcasting at a particular time or context.
-
E.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce94f65c8190807723344fa0b837 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:38 p.m.