Triple
T14943914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Congeniality |
E372602
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Don Brochu |
E54919
|
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: Don Brochu | Statement: [Miss Congeniality, editedBy, Don Brochu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Brochu Context triple: [Miss Congeniality, editedBy, Don Brochu]
-
A.
Don Brochu
chosen
Don Brochu is a film editor best known for his work on major Hollywood movies, including the hit thriller "The Bodyguard."
-
B.
Charles Horvath
Charles Horvath was an American actor and stuntman known for his rugged roles in Westerns and action films.
-
C.
Walt Dohrn
Walt Dohrn is an American animator, voice actor, writer, and director best known for his creative leadership on DreamWorks Animation films such as the Trolls franchise.
-
D.
Herb Magidson
Herb Magidson was an American lyricist and songwriter known for his popular songs of the 1930s and 1940s, including several Academy Award–winning works.
-
E.
John Dye
John Dye was an American actor best known for his role as the angel Andrew on the television series "Touched by an Angel."
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7d554808190a0a87d9f5e225d31 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 2:38 a.m.