Triple
T9984101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Designated Survivor |
E196522
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | David Guggenheim |
E177059
|
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 Guggenheim | Statement: [Designated Survivor, creator, David Guggenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Guggenheim Context triple: [Designated Survivor, creator, David Guggenheim]
-
A.
Davis Guggenheim
chosen
Davis Guggenheim is an American filmmaker and producer best known for directing influential documentaries such as "An Inconvenient Truth," "Waiting for 'Superman'," and "He Named Me Malala."
-
B.
Paul Hirsch
Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
-
C.
Paul Hirsch
Paul Hirsch was a German Social Democratic politician who briefly served as Minister President of Prussia during the early Weimar Republic.
-
D.
Bud Yorkin
Bud Yorkin was an American television producer and director best known for his influential work in 1970s sitcoms that helped redefine socially conscious TV comedy.
-
E.
Stephen Gaghan
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bdc0388190bbbd4bdc5ac3adec |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257fe0e348190b55fbd38e21cff7c |
completed | April 5, 2026, 12:39 p.m. |
Created at: March 30, 2026, 8:49 p.m.