Triple
T7775705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fury (1936 film) |
E221383
|
entity |
| Predicate | partOfCareerStageOf |
P6708
|
FINISHED |
| Object | Fritz Lang’s early Hollywood period |
—
|
LITERAL 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: Fritz Lang’s early Hollywood period | Statement: [Fury (1936 film), partOfCareerStageOf, Fritz Lang’s early Hollywood period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCareerStageOf Context triple: [Fury (1936 film), partOfCareerStageOf, Fritz Lang’s early Hollywood period]
-
A.
isStageInCareerOf
chosen
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
B.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
C.
supportsCareerStage
Indicates that one entity provides resources, opportunities, or conditions that are appropriate or beneficial for another entity’s specific stage in their career.
-
D.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
E.
documentsCareerStage
Indicates that something records or specifies the career stage or professional phase of an entity.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 3:51 p.m.