Triple
T9558389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pym Films |
E230603
|
entity |
| Predicate | primaryDirectorWorkedWith |
P19638
|
FINISHED |
| Object | Heinz Emigholz |
—
|
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: Heinz Emigholz | Statement: [Pym Films, primaryDirectorWorkedWith, Heinz Emigholz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDirectorWorkedWith Context triple: [Pym Films, primaryDirectorWorkedWith, Heinz Emigholz]
-
A.
primaryCollaborator
Indicates that one entity serves as the main or most significant partner working jointly with another entity on a shared activity, project, or goal.
-
B.
workedWithDirector
chosen
Indicates that one entity has collaborated professionally with a director on a project or production.
-
C.
coDirectedWith
Indicates that two or more entities jointly directed the same work or project.
-
D.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
E.
peopleAssociatedWith
Indicates that there exists some form of connection, involvement, or relationship between the referenced people.
- F. None of above.
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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99487b4c819086e02e29e37b593f |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:03 p.m.