Triple
T30809234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Medina |
E784593
|
entity |
| Predicate | createdForFilmDirectedBy |
P196543
|
FINISHED |
| Object | Roger Corman |
—
|
NE NERFINISHED |
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: Roger Corman | Statement: [Nicholas Medina, createdForFilmDirectedBy, Roger Corman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdForFilmDirectedBy Context triple: [Nicholas Medina, createdForFilmDirectedBy, Roger Corman]
-
A.
workedOnFilmReleasedBy
Indicates that one entity contributed work to a film that was distributed or released by another entity.
-
B.
hasWorkedOnFilmBy
Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
-
C.
appearedInFilmDirectedBy
Indicates that an entity appeared in a film whose director is the specified other entity.
-
D.
workedAsDirectorFor
Indicates that one entity held the role of director in relation to another entity, such as an organization, project, or production.
-
E.
portrayedInFilmDirectedBy
Indicates that one entity is portrayed as a character in a film that is directed by another specified entity.
- F. None of above. chosen
Provenance (4 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: April 29, 2026, 8:43 p.m.