Triple
T8336196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Simon |
E195790
|
entity |
| Predicate | coveredBeat |
P78732
|
FINISHED |
| Object | crime reporting in Baltimore |
—
|
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: crime reporting in Baltimore | Statement: [David Simon, coveredBeat, crime reporting in Baltimore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coveredBeat Context triple: [David Simon, coveredBeat, crime reporting in Baltimore]
-
A.
coveredArtist
Indicates that one artist has performed or recorded a cover version of another artist’s original work.
-
B.
coveredSongBy
Indicates that one musical work is a cover version performed or recorded by an artist of a song originally created or popularized by another artist.
-
C.
hasNotableBeat
chosen
Indicates that an entity (such as a journalist or reporter) is professionally assigned to cover a specific topic, area, or subject as their primary reporting focus.
-
D.
covered
Indicates that one entity lies over or on top of another entity so as to conceal, protect, or obscure it.
-
E.
featuresBeatSwitch
Indicates that one entity includes or incorporates a change in rhythmic pattern or beat, typically marking a transition within a sequence or composition.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd3fc80819097b326119107ad4d |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.