Triple
T35900037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annabeth Chase |
E1038329
|
entity |
| Predicate | godlyParent |
P183950
|
FINISHED |
| Object | Athena |
—
|
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: Athena | Statement: [Annabeth Chase, godlyParent, Athena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: godlyParent Context triple: [Annabeth Chase, godlyParent, Athena]
-
A.
goodWithChildren
Indicates that an entity interacts with, behaves around, or cares for children in a positive, safe, and appropriate manner.
-
B.
associatedChurchFamily
Indicates that there is a relationship linking an entity to a particular church family with which it is connected or affiliated.
-
C.
conformsToFamilyPrinciples
Indicates that an entity’s behavior, structure, or characteristics adhere to the established principles or norms of a particular family.
-
D.
hasReligiousParent
Indicates that an entity has a parent who is associated with or practices a particular religion.
-
E.
godmother
Indicates that one entity serves as a godmother to another, typically holding a special, often ceremonial or mentoring, parental-like role in their 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:07 p.m.