Triple
T12997621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pray Tell |
E322079
|
entity |
| Predicate | relationshipToCommunity |
P15115
|
FINISHED |
| Object | mentor to younger ballroom participants |
—
|
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: mentor to younger ballroom participants | Statement: [Pray Tell, relationshipToCommunity, mentor to younger ballroom participants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToCommunity Context triple: [Pray Tell, relationshipToCommunity, mentor to younger ballroom participants]
-
A.
roleInCommunity
chosen
Indicates the function, position, or set of responsibilities an entity holds within a particular community or group.
-
B.
associatedCommunity
Indicates a relationship where an entity is linked or connected to a particular community with which it is involved or identified.
-
C.
relationshipToAudience
Indicates the nature or type of connection an entity has with a specified audience, such as role, stance, or relevance.
-
D.
statusInCommunity
Indicates the social standing, role, or level of acceptance an entity holds within a particular community.
-
E.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:45 p.m.