Triple
T35525000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Zolciak-Biermann |
E1026647
|
entity |
| Predicate | startTimeOfTelevisionCareer |
P99940
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Kim Zolciak-Biermann, startTimeOfTelevisionCareer, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfTelevisionCareer Context triple: [Kim Zolciak-Biermann, startTimeOfTelevisionCareer, 2008]
-
A.
startTimeOfCreativeCareer
Indicates the point in time when an entity’s creative career or artistic professional activity began.
-
B.
beganBroadcastingCareer
chosen
Indicates that an entity started or initiated its professional career in broadcasting at a particular time or context.
-
C.
televisionDebutWith
Indicates the relationship in which an entity makes its first appearance on television in association with a particular work, program, or context.
-
D.
startOfTelevisionCollaboration
Indicates the point in time when two or more entities first began working together on a television-related project or production.
-
E.
beganTelevisionBroadcasting
Indicates that an entity started transmitting television broadcasts at a particular time or during a specific period.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a007aa8d3a481908543f9b5d562a90c |
completed | May 10, 2026, 12:31 p.m. |
| PD | Predicate disambiguation | batch_6a007a44996481908688ccfdbc56511d |
completed | May 10, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:04 p.m.