Triple
T19545885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Sande |
E489046
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Big Operator |
—
|
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: The Big Operator | Statement: [Walter Sande, notableWork, The Big Operator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Operator Context triple: [Walter Sande, notableWork, The Big Operator]
-
A.
The Big Operator
chosen
The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
-
B.
The Big M
The Big M is a prominent harness racing track located at the Meadowlands Sports Complex in East Rutherford, New Jersey.
-
C.
The Big M
The Big M is the nickname of Frank Mahovlich, a Hall of Fame Canadian ice hockey left winger renowned for his scoring prowess in the NHL during the 1950s–1970s.
-
D.
The Operators
The Operators is a nonfiction book by journalist Michael Hastings that offers a critical, behind-the-scenes account of the U.S. military’s leadership and strategy in the Afghanistan War.
-
E.
The Big Thing
The Big Thing is a public sculpture in Chicago, Illinois, known for its bold, contemporary design and prominent placement in the city’s urban landscape.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.