Triple
T2178848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal B. Wallis |
E48993
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Rainmaker |
E117089
|
NE FINISHED |
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 Rainmaker | Statement: [Hal B. Wallis, notableWork, The Rainmaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Rainmaker Context triple: [Hal B. Wallis, notableWork, The Rainmaker]
-
A.
The Rainmaker
chosen
The Rainmaker is a 1997 legal drama film based on John Grisham’s novel, centered on a young lawyer taking on a powerful insurance company.
-
B.
Rainmaker
"Rainmaker" is a song by Bruce Springsteen featured on his 2020 studio album "Letter to You."
-
C.
The Hucksters
The Hucksters is a 1947 satirical drama film about postwar American advertising, starring Clark Gable and featuring Sydney Greenstreet in a memorable supporting role.
-
D.
The Chief
The Chief is the nickname of Robert Parish, a Hall of Fame NBA center best known for his long, successful tenure with the Boston Celtics and his record for most games played in league history.
-
E.
The Go-getter
"The Go-getter" is a humorous short story by P. G. Wodehouse set in the Blandings Castle universe, featuring his trademark lighthearted comedy and eccentric characters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbeefb7648190b8fc57cf60553579 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da36db0819093f832d44d228bba |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.