Triple

T26046078
Position Surface form Disambiguated ID Type / Status
Subject Egyptian priesthood E647835 entity
Predicate associatedWith P37 FINISHED
Object cult of Hathor
The cult of Hathor was an ancient Egyptian religious tradition devoted to the goddess Hathor, venerated as a major deity of love, music, fertility, motherhood, and the afterlife.
E1710474 NE FINISHED

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: cult of Hathor | Statement: [Egyptian priesthood, associatedWith, cult of Hathor]
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: cult of Hathor
Triple: [Egyptian priesthood, associatedWith, cult of Hathor]
Generated description
The cult of Hathor was an ancient Egyptian religious tradition devoted to the goddess Hathor, venerated as a major deity of love, music, fertility, motherhood, and the afterlife.

Provenance (5 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_69e77e8d419481908004e6318d28aaab completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6065a844c81908e04d361469aa3c5 completed May 2, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a112741459881909a9b4e62a8a475d5 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a1133f275508190ae6fe6b9c4596c6d completed May 23, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a113489dcec8190863da5dad0d717d9 completed May 23, 2026, 5 a.m.
Created at: April 22, 2026, 9:10 a.m.