Triple

T30529608
Position Surface form Disambiguated ID Type / Status
Subject Robert M. Place E776957 entity
Predicate notableWork P4 FINISHED
Object The Angels Tarot
The Angels Tarot is a themed tarot deck created by artist and tarot scholar Robert M. Place, featuring angelic imagery integrated with traditional tarot symbolism.
E1918649 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: The Angels Tarot | Statement: [Robert M. Place, notableWork, The Angels Tarot]
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: The Angels Tarot
Triple: [Robert M. Place, notableWork, The Angels Tarot]
Generated description
The Angels Tarot is a themed tarot deck created by artist and tarot scholar Robert M. Place, featuring angelic imagery integrated with traditional tarot symbolism.

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_69f2249c11508190ae7e955755ccfb01 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6884af8f8819091df1a5950d74a5d completed May 2, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be7b3e588190a3700c69fd47519f completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c2f445008190b845b2496cde4d05 completed June 9, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_6a27c3c9d4b88190afdfbba3bc0d081a completed June 9, 2026, 7:42 a.m.
Created at: April 29, 2026, 8:18 p.m.