Triple
T18099010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schenck |
E433165
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Nicholas Schenck |
—
|
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: Nicholas Schenck | Statement: [Schenck, hasNotableBearer, Nicholas Schenck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Schenck Context triple: [Schenck, hasNotableBearer, Nicholas Schenck]
-
A.
Nicholas Schenck
chosen
Nicholas Schenck was a prominent early 20th-century American film studio executive and theater owner who played a key role in the development of Metro-Goldwyn-Mayer (MGM) and the Hollywood studio system.
-
B.
Benjamin Schenck
Benjamin Schenck was a mycologist known for first identifying and describing the pathogenic fungus Sporothrix.
-
C.
David Wachtenheim
David Wachtenheim is a film director best known for co-directing the 2023 animated comedy film "Leo."
-
D.
Benjamin Stoloff
Benjamin Stoloff was an American film director active during the early to mid-20th century, known for his work on comedies and genre films in Hollywood.
-
E.
Frederic Klein
Frederic Klein is an American publisher best known as the founder of the mass-market paperback imprint Berkley Books.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb521448190b97d2b2aa7e4d7e6 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:27 a.m.