Triple
T32215943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Globe investigation into Catholic Church sexual abuse cases |
E822924
|
entity |
| Predicate | majorStoriesPublishedIn |
P198043
|
FINISHED |
| Object | January 2002 |
—
|
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: January 2002 | Statement: [Boston Globe investigation into Catholic Church sexual abuse cases, majorStoriesPublishedIn, January 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorStoriesPublishedIn Context triple: [Boston Globe investigation into Catholic Church sexual abuse cases, majorStoriesPublishedIn, January 2002]
-
A.
numberOfMainStories
Indicates the total count of primary or main narrative segments associated with an entity.
-
B.
majorNewspaper
Indicates that an entity is a leading, widely recognized newspaper of significant influence or prominence.
-
C.
currentStories
Indicates that certain stories are presently active, relevant, or ongoing in a given context or system.
-
D.
notableStory
Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
-
E.
majorTabloid
Indicates that the subject is a prominent or widely recognized tabloid publication.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec4cffed08190b5e5e7cc0c87493e |
completed | May 9, 2026, 5:23 a.m. |
| PD | Predicate disambiguation | batch_69fec2ea7fe08190bd751b39515f69d1 |
completed | May 9, 2026, 5:15 a.m. |
| PDg | Predicate description generation | batch_69fec4cee6a081908139ea6aa608f729 |
completed | May 9, 2026, 5:23 a.m. |
Created at: May 1, 2026, 12:37 a.m.