Triple
T17597002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis X. Hummel |
E428597
|
entity |
| Predicate | filmWriters |
P25235
|
FINISHED |
| Object | Mark Rosner |
—
|
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: Mark Rosner | Statement: [Francis X. Hummel, filmWriters, Mark Rosner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Rosner Context triple: [Francis X. Hummel, filmWriters, Mark Rosner]
-
A.
Mark Rosner
chosen
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
-
B.
Mark Rosner
Mark Rosner is a creator and writer known for developing the character Major Baxter.
-
C.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
D.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
E.
Marc Rosen
Marc Rosen is an American businessman and talent agent best known as the younger husband of classic Hollywood actress Arlene Dahl.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ec335c8190abcaff700cfff23b |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.