Triple
T36063599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Painted Lady |
E1043155
|
entity |
| Predicate | partOfDirectorCareerPhase |
P19243
|
FINISHED |
| Object | early career of D. W. Griffith |
—
|
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: early career of D. W. Griffith | Statement: [The Painted Lady, partOfDirectorCareerPhase, early career of D. W. Griffith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfDirectorCareerPhase Context triple: [The Painted Lady, partOfDirectorCareerPhase, early career of D. W. Griffith]
-
A.
positionInDirectorsCareer
Indicates the specific point or rank that a work or event occupies within the chronological sequence of a director’s professional career.
-
B.
workedAsDirectorFor
Indicates that one entity held the role of director in relation to another entity, such as an organization, project, or production.
-
C.
showsCareerPhaseOf
Indicates that something depicts or represents a particular phase or stage in an entity’s career.
-
D.
partOfCareer
chosen
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
E.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00bcfed6448190b2e816bbe7c61c55 |
completed | May 10, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_6a00bc7be24c81908ba5c1957edd2c10 |
completed | May 10, 2026, 5:12 p.m. |
Created at: May 3, 2026, 4:08 p.m.