Triple
T1796485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Shermer |
E39614
|
entity |
| Predicate | hasWrittenFor |
P11775
|
FINISHED |
| Object | Scientific American |
E39622
|
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: Scientific American | Statement: [Michael Shermer, hasWrittenFor, Scientific American]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scientific American Context triple: [Michael Shermer, hasWrittenFor, Scientific American]
-
A.
Scientific American
chosen
Scientific American is a long-running popular science magazine that presents accessible articles on scientific discoveries, research, and technological advances to a broad audience.
-
B.
American Journal of Science
The American Journal of Science is a long-running, peer-reviewed scientific journal, historically influential in publishing foundational research in physics and the earth sciences.
-
C.
Scilight
Scilight is an online publication from the American Institute of Physics that highlights noteworthy and emerging research across the physical sciences in brief, accessible summaries.
-
D.
Science (journal)
Science is a leading peer‑reviewed academic journal that publishes cutting-edge research across all scientific disciplines.
-
E.
Science Times
Science Times is the science-focused section of The New York Times that covers developments and insights in fields such as medicine, technology, space, and the environment.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa653ef7f481908226ff71afca672a |
completed | March 6, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5d6cee88190b26814134037aba6 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:32 p.m.