Triple
T14705086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Brass Check |
E345406
|
entity |
| Predicate | comparedJournalismTo |
P115429
|
FINISHED |
| Object | prostitution |
—
|
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: prostitution | Statement: [The Brass Check, comparedJournalismTo, prostitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedJournalismTo Context triple: [The Brass Check, comparedJournalismTo, prostitution]
-
A.
journalismType
Indicates the specific category or style of journalism that characterizes a given journalistic work or activity.
-
B.
basedOnExperienceAsJournalist
Indicates that something is determined, influenced, or derived from a person's prior work or role as a journalist.
-
C.
journalistsFace
Indicates that journalists encounter or experience a particular challenge, condition, or situation.
-
D.
journalismSchool
Indicates that one entity is a journalism school attended by, affiliated with, or providing education/training in journalism to the other entity.
-
E.
wroteEditorialFor
Indicates that one entity authored an editorial piece that was published by or on behalf of another entity.
- F. None of above. chosen
Provenance (4 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6086c608190a66c64e23a3e002f |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.