Triple

T28741817
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Trumbull E731264 entity
Predicate givenName P17 FINISHED
Object Benjamin
Benjamin is a masculine given name of Hebrew origin, traditionally interpreted to mean "son of the right hand" or "favored son."
E342186 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: Benjamin | Statement: [Benjamin Trumbull, givenName, Benjamin]
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: Benjamin
Triple: [Benjamin Trumbull, givenName, Benjamin]
Generated description
Benjamin is a masculine given name of Hebrew origin, traditionally interpreted to mean "son of the right hand" or "favored son."

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_69f043ecb5c081909ec9da1172d68ece completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657b453548190ab10f8cfa45974dd completed May 2, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a252e2a88190aa0064bf2c5502e0 completed June 6, 2026, 10:42 p.m.
NEDg Description generation batch_6a24a449eb0c8190bc8dabf6810bd510 completed June 6, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a24a7f9e4288190ba1a0d2fb4d552a2 completed June 6, 2026, 11:06 p.m.
Created at: April 28, 2026, 6:03 a.m.