Triple
T19108450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey Bogart as George Hally |
E467721
|
entity |
| Predicate | partOfActorCareerPhase |
P19243
|
FINISHED |
| Object | pre-Casablanca 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: pre-Casablanca period | Statement: [Humphrey Bogart as George Hally, partOfActorCareerPhase, pre-Casablanca period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfActorCareerPhase Context triple: [Humphrey Bogart as George Hally, partOfActorCareerPhase, pre-Casablanca period]
-
A.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
B.
partOfCareer
chosen
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
C.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
-
D.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
E.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e391f00c8190881a5977dd3728ed |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.