Triple
T16053855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon & Schuster |
E389423
|
entity |
| Predicate | hasCoFounder |
P2835
|
FINISHED |
| Object | M. Lincoln Schuster |
E89678
|
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: M. Lincoln Schuster | Statement: [Simon & Schuster, hasCoFounder, M. Lincoln Schuster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M. Lincoln Schuster Context triple: [Simon & Schuster, hasCoFounder, M. Lincoln Schuster]
-
A.
M. Lincoln Schuster
chosen
M. Lincoln Schuster was an American publisher and co-founder of the major publishing house Simon & Schuster.
-
B.
P. M. Blodgett
P. M. Blodgett was an early settler and prominent local figure in Oregon after whom the community of Blodgett was named.
-
C.
W. J. Lincoln
W. J. Lincoln was an early Australian film director, producer, and screenwriter active in the silent era of cinema.
-
D.
Mel Sharples
Mel Sharples is a gruff but good-hearted diner owner and cook from the sitcom "Alice," known for his no-nonsense attitude and catchphrase, "Stow it!"
-
E.
Eliot Lindauer
Eliot Lindauer is an individual notable enough to be specifically cited as a bearer of the Lindauer surname.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183642420819088b03f613ee65851 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe478bcc48190bdd4fcb7ec51caad |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:56 a.m.