Triple

T25964865
Position Surface form Disambiguated ID Type / Status
Subject Dick Gephardt 1988 presidential campaign E645637 entity
Predicate primaryOpponent P437 FINISHED
Object Paul Simon
Paul Simon was a bow-tied, liberal Democratic U.S. senator from Illinois known for his 1988 presidential primary campaign and his advocacy on education, fiscal responsibility, and government ethics.
E1703759 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: Paul Simon | Statement: [Dick Gephardt 1988 presidential campaign, primaryOpponent, Paul Simon]
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: Paul Simon
Triple: [Dick Gephardt 1988 presidential campaign, primaryOpponent, Paul Simon]
Generated description
Paul Simon was a bow-tied, liberal Democratic U.S. senator from Illinois known for his 1988 presidential primary campaign and his advocacy on education, fiscal responsibility, and government ethics.

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_69e77e85efc08190997da7fcf98bd300 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f604c8ef408190bfd4571fb262372b completed May 2, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1107834f208190b8ff9f2e66b7db93 completed May 23, 2026, 1:48 a.m.
NEDg Description generation batch_6a1108ea3754819081686ac7fa8f8e1b completed May 23, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_6a1109785d80819093c4602d784e1485 completed May 23, 2026, 1:57 a.m.
Created at: April 22, 2026, 8:48 a.m.