Triple
T7630683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Siege |
E172751
|
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: [Under Siege, editedBy, Don Brochu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Brochu Context triple: [Under Siege, 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.
Frank Bracht
Frank Bracht was an American film editor known for his work on mid-20th-century Hollywood productions, including the biographical drama "Harlow" (1965).
-
E.
Harvey Cokeliss
Harvey Cokeliss is a British film director, producer, and screenwriter known for his work in genre cinema and television.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa85c57c8190acfd33e0c890c2f9 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4f142c48190a63f6e25dad3d57e |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 3:56 p.m.