Triple
T1308075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hachette Book Group |
E27925
|
entity |
| Predicate | subsidiary |
P258
|
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: [Hachette Book Group, subsidiary, Basic Books]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basic Books Context triple: [Hachette Book Group, subsidiary, 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.
BASIC
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
-
C.
The Basic School
The Basic School is the United States Marine Corps’ primary officer training institution where newly commissioned officers receive foundational leadership and combat instruction.
-
D.
Basic Law
Basic Law is the constitutional charter of the Federal Republic of Germany, establishing its fundamental political and legal order.
-
E.
Wikibooks
Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13806b48190a0db33f8e5d53734 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaec736881909645919764d73f5f |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:51 p.m.