Triple
T5272323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Animism |
E119287
|
entity |
| Predicate | newAnimismCharacterizedBy |
P62764
|
FINISHED |
| Object | focus on relational personhood |
—
|
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: focus on relational personhood | Statement: [Animism, newAnimismCharacterizedBy, focus on relational personhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newAnimismCharacterizedBy Context triple: [Animism, newAnimismCharacterizedBy, focus on relational personhood]
-
A.
ritualCharacteristics
Indicates the defining features, practices, or attributes that characterize a particular ritual.
-
B.
primarySpirit
Indicates that one entity is the main or most fundamental spiritual essence associated with another entity.
-
C.
isAnthropomorphic
Indicates that something non-human is given human-like characteristics, form, or behavior.
-
D.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
E.
fictionalSpecies
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:51 p.m.