Triple
T21291415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles D. King |
E524798
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | MACRO |
—
|
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: MACRO | Statement: [Charles D. King, employer, MACRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MACRO Context triple: [Charles D. King, employer, MACRO]
-
A.
MACRO
chosen
MACRO is an American media and entertainment company focused on producing and financing film and television projects that center Black people and other people of color.
-
B.
Macro
Macro was a powerful Roman official who served as praetorian prefect, effectively controlling the imperial guard and wielding significant influence in the politics of the early Roman Empire.
-
C.
the macroprosopus
The Macroprosopus is a kabbalistic term for the transcendent, hidden aspect of the divine associated with the highest sefirah and the primordial divine countenance.
-
D.
MACRO-11
MACRO-11 is the assembly language for DEC's PDP-11 minicomputers, widely used for low-level systems and application programming on RSX-11 and related operating systems.
-
E.
MICRO
MICRO is a leading annual international conference focused on microarchitecture and advanced computer architecture research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736da28648190ae3f63c6ba1f6d6f |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:04 p.m.