Triple
T24811791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Lake's Paternity Court |
E620805
|
entity |
| Predicate | hostProfessionInShow |
P39913
|
FINISHED |
| Object | legal analyst |
—
|
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: legal analyst | Statement: [Lauren Lake's Paternity Court, hostProfessionInShow, legal analyst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostProfessionInShow Context triple: [Lauren Lake's Paternity Court, hostProfessionInShow, legal analyst]
-
A.
coHostOf
Indicates a relationship where two or more entities jointly host the same event, program, or activity together.
-
B.
hostsIndustry
Indicates that one entity provides the venue, infrastructure, or environment in which a particular industry operates or is based.
-
C.
presenterOccupation
Indicates that an entity serves in a specific professional role or job as a presenter.
-
D.
roleOfHost
chosen
Indicates that an entity serves as the host in relation to another entity, event, or interaction.
-
E.
hostNationRole
Indicates the role or capacity in which a nation serves as the host in a particular event, activity, or context.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:50 a.m.