Triple
T27840319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay Sievers |
E703659
|
entity |
| Predicate | componentTypeWorkedOn |
P6678
|
FINISHED |
| Object | init system |
—
|
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: init system | Statement: [Kay Sievers, componentTypeWorkedOn, init system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentTypeWorkedOn Context triple: [Kay Sievers, componentTypeWorkedOn, init system]
-
A.
productTypeWorkedOn
Indicates that an entity has worked on or been involved in creating, developing, or handling a particular type of product.
-
B.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
C.
scriptTypeWorkedOn
Indicates the type or category of script that an entity has worked on or contributed to.
-
D.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
-
E.
componentType
chosen
Indicates that one entity specifies or classifies the kind or category of component that another entity represents or uses.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 6:02 p.m.