Triple
T36893984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shrine to Jobu |
E911837
|
entity |
| Predicate | fictionalDeity |
P199570
|
FINISHED |
| Object | Jobu |
—
|
NE NERFINISHED |
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: Jobu | Statement: [shrine to Jobu, fictionalDeity, Jobu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalDeity Context triple: [shrine to Jobu, fictionalDeity, Jobu]
-
A.
fictionalDenomination
Indicates a relationship where an entity is associated with a made-up or non-real-world religious or monetary denomination.
-
B.
fictionalCharacter
Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
-
C.
religiousOrMythicFigure
Indicates that the subject is regarded as a significant figure within a religious tradition or mythological system.
-
D.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
E.
otherDeity
Indicates that one deity is distinct from and not identical to another deity within a given context or system.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
| PDg | Predicate description generation | batch_69ff45782cb88190b604811e4d724382 |
completed | May 9, 2026, 2:32 p.m. |
Created at: May 3, 2026, 4:13 p.m.