Triple
T6277295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The First Three Minutes |
E140692
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Basic Books |
E32461
|
NE 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: Basic Books | Statement: [The First Three Minutes, publisher, Basic Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basic Books Context triple: [The First Three Minutes, publisher, Basic Books]
-
A.
Basic Books
chosen
Basic Books is an American publishing company known for releasing influential works in the fields of social sciences, humanities, and public affairs.
-
B.
Beginner Books
Beginner Books is a popular line of early-reader children's books, originally developed by Dr. Seuss and others to help young children learn to read through simple vocabulary and engaging stories.
-
C.
Basic
Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
-
D.
Home Basic
Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
-
E.
BASIC
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063d96fbc8190a9091456b82762d1 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5194e9b3881908188f004c4a03a09 |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.