Triple
T36306172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icon of Our Lady of Perpetual Help |
E893947
|
entity |
| Predicate | widelyReproduced |
P86892
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Icon of Our Lady of Perpetual Help, widelyReproduced, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widelyReproduced Context triple: [Icon of Our Lady of Perpetual Help, widelyReproduced, yes]
-
A.
hasBeenReproducedIn
chosen
Indicates that something has been copied, replicated, or re-created in another medium, format, or context.
-
B.
widelyCoveredBy
Indicates that something (such as an event, topic, or issue) receives extensive attention or reporting from many media outlets or information sources.
-
C.
isWidelyCoveredBy
Indicates that something receives extensive attention or reporting from many media outlets or information sources.
-
D.
isWidelyFollowedBy
Indicates that one entity is followed, subscribed to, or tracked by a large number of other entities.
-
E.
isWidelyCoveredIn
Indicates that something receives extensive attention or reporting across many media outlets, sources, or platforms.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.