Triple
T5420637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Seuss |
E121238
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | PM magazine |
E403488
|
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: PM magazine | Statement: [Dr. Seuss, employer, PM magazine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PM magazine Context triple: [Dr. Seuss, employer, PM magazine]
-
A.
PM Magazine
chosen
PM Magazine was a popular American syndicated television news and entertainment magazine show that aired locally produced segments across numerous stations in the late 1970s and 1980s.
-
B.
IPC Magazines
IPC Magazines was a major British publishing company known for producing popular comics and magazines, including the early home of the Judge Dredd character.
-
C.
The Magazine of Magazines
The Magazine of Magazines was an 18th-century British periodical that compiled and reprinted notable literary and political works for a broad reading public.
-
D.
Press Gazette
Press Gazette is a UK-based media industry publication that covers journalism and the news business, including reporting on and organizing major press awards.
-
E.
People (magazine)
People is a popular American weekly magazine best known for its celebrity news, human-interest stories, and annual features like "Sexiest Man Alive."
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87eac41481908a4982db5d119edd |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ab4d32c8190958daefa8061a7f9 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.