Triple
T9778010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gods and Monsters (1998 film) |
E237293
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | David Dukes |
E593561
|
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: David Dukes | Statement: [Gods and Monsters (1998 film), castMember, David Dukes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Dukes Context triple: [Gods and Monsters (1998 film), castMember, David Dukes]
-
A.
David Dukes
chosen
David Dukes was an American character actor known for his extensive work in film, television, and theater from the 1970s through the 1990s.
-
B.
Robert Dukes
Robert Dukes is an author best known for writing the second installment of the "Bound" series.
-
C.
Alan Dukes
Alan Dukes is an Irish economist and former politician who served as leader of the Fine Gael party and held several senior ministerial roles.
-
D.
Kevin Duckworth
Kevin Duckworth was an American NBA center best known for his All-Star years with the Portland Trail Blazers in the late 1980s and early 1990s.
-
E.
John Hemenway Duncan
John Hemenway Duncan was an American architect best known for designing prominent late-19th-century monuments and public structures in New York City.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13545808190a47544b0cc666e20 |
completed | April 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd22a194819089ae888e932566f1 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.