Triple

T37506060
Position Surface form Disambiguated ID Type / Status
Subject Ted Kaufman E932094 entity
Predicate employer P7 FINISHED
Object Office of Senator Joe Biden
The Office of Senator Joe Biden was the official U.S. Senate office that supported Joe Biden’s legislative, constituent, and committee work during his tenure as a senator from Delaware.
E2231375 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: Office of Senator Joe Biden | Statement: [Ted Kaufman, employer, Office of Senator Joe Biden]
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: Office of Senator Joe Biden
Triple: [Ted Kaufman, employer, Office of Senator Joe Biden]
Generated description
The Office of Senator Joe Biden was the official U.S. Senate office that supported Joe Biden’s legislative, constituent, and committee work during his tenure as a senator from Delaware.

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_69f76ec5268481909ea01c73aeeefd42 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3a7433c8190b8f1a6bbadc8479f completed May 6, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4095350c3081909487ed31e9fadd9a completed June 28, 2026, 3:29 a.m.
NEDg Description generation batch_6a4098fd7e348190b23e2116aed827b4 completed June 28, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_6a409958e7f0819081bb850ba4bcf539 completed June 28, 2026, 3:47 a.m.
Created at: May 3, 2026, 4:17 p.m.