Triple
T143937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pale Blue Dot |
E2911
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Random House |
E8970
|
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: Random House | Statement: [Pale Blue Dot, publisher, Random House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Random House Context triple: [Pale Blue Dot, publisher, Random House]
-
A.
Random House
chosen
Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
-
B.
Simon & Schuster
Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
-
C.
Alfred A. Knopf
Alfred A. Knopf is a prestigious American publishing house known for its high-quality literary fiction and nonfiction titles.
-
D.
Harper & Row
Harper & Row was a major American publishing house known for producing influential works in literature, education, and academic scholarship.
-
E.
Little, Brown and Company
Little, Brown and Company is a long-established American publishing house known for releasing influential works of fiction and nonfiction by prominent authors.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257caf678819092e975d5167f9df4 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e3bd8ee88190a708c0aa20b3c7d7 |
completed | Feb. 28, 2026, 12:46 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.