Triple
T8485577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born This Way |
E200823
|
entity |
| Predicate | usesReligiousImagery |
P24743
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Born This Way, usesReligiousImagery, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesReligiousImagery Context triple: [Born This Way, usesReligiousImagery, true]
-
A.
hasReligiousTheme
chosen
Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
-
B.
isUsedByReligion
Indicates that something (such as an object, practice, text, or symbol) is employed or utilized within the context of a particular religion.
-
C.
portraysReligionAs
Indicates that one entity represents, depicts, or characterizes a religion in a particular way.
-
D.
hasNoReligiousSymbol
Indicates that an entity does not display, contain, or is not associated with any religious symbol.
-
E.
hasAllegoricalDepictionsBy
Indicates that one entity is represented through allegorical depictions created by another entity.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53b359c81908174addcd6e12785 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:12 p.m.