Triple

T25562642
Position Surface form Disambiguated ID Type / Status
Subject Great Goddess of Teotihuacan E640754 entity
Predicate scholarlyNameGivenBy P109841 FINISHED
Object Peter Furst
Peter Furst is an anthropologist and scholar of Mesoamerican religions known for his influential work on Teotihuacan deities and iconography.
 E1687025 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: Peter Furst | Statement: [Great Goddess of Teotihuacan, scholarlyNameGivenBy, Peter Furst]
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: Peter Furst
Triple: [Great Goddess of Teotihuacan, scholarlyNameGivenBy, Peter Furst]
Generated description
Peter Furst is an anthropologist and scholar of Mesoamerican religions known for his influential work on Teotihuacan deities and iconography.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: scholarlyNameGivenBy
Context triple: [Great Goddess of Teotihuacan, scholarlyNameGivenBy, Peter Furst]
  • 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_6a10b75127548190ad8f16b1545e40bd completed May 22, 2026, 8:06 p.m.
NEDg Description generation batch_6a10b7fa6d60819097ff930865af4032 completed May 22, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f468421ba08190880eac99135e5970 completed May 1, 2026, 8:45 a.m.
Created at: April 21, 2026, 3:47 p.m.