Triple
T20281467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard L. Breen |
E503153
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Niagara (1953 film) |
E1282891
|
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: Niagara (1953 film) | Statement: [Richard L. Breen, notableWork, Niagara (1953 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niagara (1953 film) Context triple: [Richard L. Breen, notableWork, Niagara (1953 film)]
-
A.
Niagara (1953 film)
chosen
Niagara (1953 film) is a 1953 American film noir thriller starring Marilyn Monroe, notable for its suspenseful plot set around a honeymooning couple at Niagara Falls.
-
B.
Niagara, Niagara
"Niagara, Niagara" is a 1997 independent road drama film following two troubled teenagers on a chaotic journey across the American Northeast.
-
C.
"Niagara"
"Niagara" is a popular two-part episode of the U.S. version of The Office centered on Jim and Pam’s wedding at Niagara Falls.
-
D.
Niagara 2
Niagara 2 is the code name for Sun Microsystems' UltraSPARC T2 multicore, multithreaded server processor designed for high-throughput computing.
-
E.
Coney Island (1943 film)
Coney Island (1943 film) is a Technicolor musical starring Betty Grable that nostalgically portrays turn-of-the-century entertainment culture at New York’s famous amusement destination.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768e9f0881909c8fe8772dafd468 |
completed | April 20, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a25e5f08190b11cbcbdda42113b |
completed | May 16, 2026, 11:51 a.m. |
Created at: April 16, 2026, 10:38 a.m.