Triple

T32010713
Position Surface form Disambiguated ID Type / Status
Subject Simonides (Ben-Hur) E817391 entity
Predicate spouse P13 FINISHED
Object Rachel (Ben-Hur)
Rachel is a character in Lew Wallace’s novel "Ben-Hur: A Tale of the Christ," known as the devoted wife of the steward Simonides and part of the household connected to Judah Ben-Hur.
E1986521 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: Rachel (Ben-Hur) | Statement: [Simonides (Ben-Hur), spouse, Rachel (Ben-Hur)]
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: Rachel (Ben-Hur)
Triple: [Simonides (Ben-Hur), spouse, Rachel (Ben-Hur)]
Generated description
Rachel is a character in Lew Wallace’s novel "Ben-Hur: A Tale of the Christ," known as the devoted wife of the steward Simonides and part of the household connected to Judah Ben-Hur.

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_69f348f9e5d081908cc3f57c4942af52 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b42ea8d88190a19bd1cce543f55a completed May 3, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb167784481909cf4f9c97ea708c4 completed June 14, 2026, 1:49 p.m.
NEDg Description generation batch_6a2eb233e01081908159fbbd94ad9d22 completed June 14, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb2f4a710819098442ba2198aecf6 completed June 14, 2026, 1:56 p.m.
Created at: May 1, 2026, 12:15 a.m.