Triple
T25562643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Goddess of Teotihuacan |
E640754
|
entity |
| Predicate | scholarlyNameGivenBy |
P109841
|
FINISHED |
| Object | Esther Pasztory |
—
|
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: Esther Pasztory | Statement: [Great Goddess of Teotihuacan, scholarlyNameGivenBy, Esther Pasztory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scholarlyNameGivenBy Context triple: [Great Goddess of Teotihuacan, scholarlyNameGivenBy, Esther Pasztory]
-
A.
scholarlyName
Indicates the formal scientific or academic name assigned to an entity in scholarly or taxonomic contexts.
-
B.
writtenByScholarFrom
Indicates that something was written by a scholar who originates from or is affiliated with a specified place or region.
-
C.
authorOfNamesFor
chosen
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
-
D.
hasAuthorGivenNames
Indicates that an entity is associated with the given (first and middle) name or names of its author.
-
E.
creatorGivenName
Indicates the given (first) name of the person or entity that created something.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8f9bc48819097a98b805f60d5dd |
completed | May 2, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 3:47 p.m.