Triple
T25909276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus T. Jones |
E652843
|
entity |
| Predicate | hasReligionConversion |
P11201
|
FINISHED |
| Object | became a devout Christian in his teens |
—
|
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: became a devout Christian in his teens | Statement: [Angus T. Jones, hasReligionConversion, became a devout Christian in his teens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionConversion Context triple: [Angus T. Jones, hasReligionConversion, became a devout Christian in his teens]
-
A.
convertedToReligion
chosen
Indicates that an entity adopted or changed to a particular religion, typically from a previous belief system or lack thereof.
-
B.
religiousConversionPeriod
Indicates the time span during which an entity undergoes or is involved in a process of religious conversion.
-
C.
hasFormerReligiousCommunity
Indicates that an entity previously belonged to a particular religious community but is no longer a member of it.
-
D.
convertedToIslamWith
Indicates that one entity adopted Islam through the influence, guidance, or involvement of another entity.
-
E.
laterRevertedReligion
Indicates that an entity adopted a religion and then subsequently reverted or returned to a previous or different religious affiliation.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: April 22, 2026, 8:28 a.m.