Triple
T28909106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances "Baby" Houseman |
E733167
|
entity |
| Predicate | learnsActivity |
P32131
|
FINISHED |
| Object | dirty dancing |
—
|
NE NERFINISHED |
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: dirty dancing | Statement: [Frances "Baby" Houseman, learnsActivity, dirty dancing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learnsActivity Context triple: [Frances "Baby" Houseman, learnsActivity, dirty dancing]
-
A.
educationalActivity
Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
-
B.
earnActivity
Indicates that an entity gains or receives something of value (such as money, points, or rewards) as a result of performing a particular activity.
-
C.
learn
chosen
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
-
D.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
E.
learnsConcept
Indicates that an entity acquires knowledge or understanding of a particular concept.
- 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_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:10 a.m.