Triple
T12974741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netscape Time: The Making of the Billion-Dollar Start-Up That Took on Microsoft |
E321494
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | technology memoir |
C32273
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: technology memoir Context triple: [Netscape Time: The Making of the Billion-Dollar Start-Up That Took on Microsoft, instanceOf, technology memoir]
-
A.
literary memoir
A literary memoir is a reflective, narrative-driven work of nonfiction in which an author artfully reconstructs and interprets personal experiences to explore broader themes of identity, memory, and meaning.
-
B.
personal memoir
A personal memoir is a reflective narrative in which an individual recounts and interprets significant experiences from their own life, emphasizing memory, emotion, and personal insight rather than exhaustive biography.
-
C.
memoir series
A memoir series is a collection of autobiographical works that chronologically or thematically trace a person's lived experiences, reflections, and personal growth across multiple volumes.
-
D.
technology writer
A technology writer researches, interprets, and clearly communicates complex technological concepts, products, and trends to specific audiences through written content such as articles, documentation, and reviews.
-
E.
memoirist
A memoirist is a writer who crafts narrative accounts of their own lived experiences, reflecting on personal events, relationships, and inner transformations to convey meaning and insight.
- F. None of above. chosen
Provenance (1 batch)
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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 8:37 p.m.