Triple
T28908994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Bergstein |
E733163
|
entity |
| Predicate | basedOnHerExperiencesIn |
P148321
|
FINISHED |
| Object | social dancing |
—
|
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: social dancing | Statement: [Eleanor Bergstein, basedOnHerExperiencesIn, social dancing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnHerExperiencesIn Context triple: [Eleanor Bergstein, basedOnHerExperiencesIn, social dancing]
-
A.
basedOnExperience
Indicates that something is determined, chosen, or formed according to prior experience or experiential knowledge.
-
B.
gaveFirsthandExperienceOf
Indicates that one entity directly provided another entity with personal, firsthand experience of something, rather than secondhand or indirect knowledge.
-
C.
laterExperiences
Indicates that one event, state, or experience occurs after another in time, reflecting subsequent or later experiences relative to an earlier reference point.
-
D.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
E.
usedExperienceIn
chosen
Indicates that an entity applied or leveraged a particular experience or expertise in performing an action or achieving a result.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 28, 2026, 8:09 a.m.