Triple
T14363064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall Pass |
E356152
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Charles B. Wessler |
—
|
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: Charles B. Wessler | Statement: [Hall Pass, producer, Charles B. Wessler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles B. Wessler Context triple: [Hall Pass, producer, Charles B. Wessler]
-
A.
Charles B. Wessler
chosen
Charles B. Wessler is an American film producer best known for his work on the Academy Award–winning film "Green Book" and various successful comedies.
-
B.
Charles K. Feldman
Charles K. Feldman was a prominent American film producer and talent agent known for shaping major Hollywood projects and representing high-profile stars during the mid-20th century.
-
C.
Robert F. Bacher
Robert F. Bacher was an American nuclear physicist and key leader in the Manhattan Project who later became a prominent figure in U.S. science policy and administration.
-
D.
Charles Weinstock
Charles Weinstock is a film producer best known for his work on the crime thriller movie "Fracture."
-
E.
Allen G. Siegler
Allen G. Siegler was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood films.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fabec088190bd8128371b29e958 |
completed | April 14, 2026, 7:04 p.m. |
Created at: April 10, 2026, 1:15 a.m.