Triple
T19545882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Sande |
E489046
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Big Gusher |
—
|
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 Gusher | Statement: [Walter Sande, notableWork, The Big Gusher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Gusher Context triple: [Walter Sande, notableWork, The Big Gusher]
-
A.
The Big Gusher
chosen
"The Big Gusher" is a 1951 American drama film set in the Texas oil fields, following wildcatters chasing a big strike.
-
B.
The Big One
The Big One is a famous steel roller coaster in Blackpool, England, known for its towering height and high-speed drops along the seafront.
-
C.
The Big One
The Big One is a 1997 satirical documentary film directed by Michael Moore that follows his book tour across America while critiquing corporate downsizing and economic inequality.
-
D.
The Great Explosion
The Great Explosion is a satirical science fiction novel by Eric Frank Russell that critiques bureaucracy and militarism through a series of loosely connected spacefaring adventures.
-
E.
Thunder Gulch
Thunder Gulch was a champion American Thoroughbred racehorse best known for winning the 1995 Kentucky Derby and Belmont Stakes.
- 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.