Triple
T17377050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Black |
E422465
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Louis Black |
—
|
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: Louis Black | Statement: [Louis Black, name, Louis Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Black Context triple: [Louis Black, name, Louis Black]
-
A.
Louis Black
chosen
Louis Black is an American journalist and co-founder of The Austin Chronicle who played a key role in shaping Austin’s cultural and film scene.
-
B.
Jerry Black
Jerry Black is the aging, obsessive former police detective in the crime drama "The Pledge," whose life unravels as he pursues a promise to catch a child’s killer.
-
C.
Allan Black
Allan Black is a notable individual distinguished enough in his field or public life to be specifically recognized by the surname Black.
-
D.
Armond Hill
Armond Hill is a former American basketball player and coach best known for his standout collegiate career at Princeton University and subsequent role as an NBA guard.
-
E.
John D. F. Black
John D. F. Black was an American screenwriter and producer best known for his work on influential 1970s film and television projects, including contributions to the crime and science fiction genres.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6ddbd081908908b953597977d2 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.