Triple
T18704993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ExampleValidator |
E457345
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | ExampleGen |
—
|
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: ExampleGen | Statement: [ExampleValidator, integratesWith, ExampleGen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ExampleGen Context triple: [ExampleValidator, integratesWith, ExampleGen]
-
A.
ExampleGen
chosen
ExampleGen is a TensorFlow Extended (TFX) component responsible for ingesting and converting raw data into standardized examples for machine learning pipelines.
-
B.
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.
-
C.
InGen
InGen is the fictional bioengineering corporation in the Jurassic Park franchise responsible for cloning dinosaurs and creating the dinosaur theme parks.
-
D.
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.
-
E.
Genera
Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
- 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.