Triple

T25562643
Position Surface form Disambiguated ID Type / Status
Subject Great Goddess of Teotihuacan E640754 entity
Predicate scholarlyNameGivenBy P109841 FINISHED
Object Esther Pasztory
Esther Pasztory is an art historian and archaeologist renowned for her influential scholarship on Mesoamerican art and iconography, particularly the ancient city of Teotihuacan.
 E1714007 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Esther Pasztory
Triple: [Great Goddess of Teotihuacan, scholarlyNameGivenBy, Esther Pasztory]
Generated description
Esther Pasztory is an art historian and archaeologist renowned for her influential scholarship on Mesoamerican art and iconography, particularly the ancient city of Teotihuacan.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a118544fd4c8190aba7ad70352c3e3c completed May 23, 2026, 10:45 a.m.
NEDg Description generation batch_6a1186cd29f88190813cb3f303be79db completed May 23, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_6a11874db25c819083de4763c198d6e6 completed May 23, 2026, 10:54 a.m.
PD Predicate disambiguation batch_69f480789be08190ab252a6de3797200 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 3:47 p.m.