Triple
T19112025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Shostak |
E467811
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Marshall Pease |
—
|
NE NERFINISHED |
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: Marshall Pease | Statement: [Robert Shostak, coAuthorWith, Marshall Pease]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshall Pease Context triple: [Robert Shostak, coAuthorWith, Marshall Pease]
-
A.
Marshall Pease
chosen
Marshall Pease is a computer scientist best known for co-authoring the seminal paper that introduced the Byzantine Generals Problem in distributed computing and fault tolerance.
-
B.
Paul Satterfield
Paul Satterfield is a film professional known for his work as a sequence director on classic animated features such as Disney’s 1942 film "Bambi."
-
C.
Marshall Pittman
Marshall Pittman is a powerful, manipulative media mogul and team owner whose influence drives much of the drama in the TV series "Necessary Roughness."
-
D.
Marshall Harvey
Marshall Harvey is a film editor best known for his work on movies such as the dark comedy "The 'Burbs."
-
E.
Marshall Adams
Marshall Adams is a cinematographer best known for his work on the television series "Better Call Saul" and the film "El Camino: A Breaking Bad Movie."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e394969c81909d09b2300ea0e041 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:04 p.m.