Triple
T3275680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joaquin Phoenix |
E68750
|
entity |
| Predicate | religionInChildhood |
P25219
|
FINISHED |
| Object | Children of God (family affiliation) |
—
|
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: Children of God (family affiliation) | Statement: [Joaquin Phoenix, religionInChildhood, Children of God (family affiliation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionInChildhood Context triple: [Joaquin Phoenix, religionInChildhood, Children of God (family affiliation)]
-
A.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
B.
bearerReligion
chosen
Indicates that a bearer (such as a person or entity) adheres to, practices, or is associated with a particular religion.
-
C.
influencedByReligion
Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
-
D.
fatherReligion
Indicates the religious affiliation or belief system practiced or identified with by a person's father.
-
E.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0110f1c8190ae60708b686cbbf9 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.