Triple
T18704888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StatisticsGen |
E457343
|
entity |
| Predicate | outputUsedBy |
P64275
|
FINISHED |
| Object | SchemaGen |
—
|
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: SchemaGen | Statement: [StatisticsGen, outputUsedBy, SchemaGen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SchemaGen Context triple: [StatisticsGen, outputUsedBy, SchemaGen]
-
A.
SchemaGen
chosen
SchemaGen is a TensorFlow Extended (TFX) component that automatically infers and generates data schemas by analyzing example datasets for use in machine learning pipelines.
-
B.
Generator
"Generator" is a 1992 punk rock album by Bad Religion that marked a darker, more experimental turn in the band's melodic hardcore sound.
-
C.
Generate!
"Generate!" is an album by the American indie rock band Some Velvet Sidewalk, showcasing their experimental, lo-fi sound.
-
D.
Gerar
Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
-
E.
FormGen
FormGen was a video game publisher best known for distributing early PC titles such as Wolfenstein 3D and various expansion packs in the 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671665bc8190b9b4a4ce4ec5b2eb |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:49 a.m.