Triple

T21916096
Position Surface form Disambiguated ID Type / Status
Subject 1920 Democratic Party presidential primaries E541187 entity
Predicate mainCandidate P1221 FINISHED
Object James A. Reed
James A. Reed was a Missouri Democratic politician and U.S. Senator known for his conservative positions and prominent role in early 20th-century national politics.
E2290076 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: James A. Reed | Statement: [1920 Democratic Party presidential primaries, mainCandidate, James A. Reed]
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: James A. Reed
Triple: [1920 Democratic Party presidential primaries, mainCandidate, James A. Reed]
Generated description
James A. Reed was a Missouri Democratic politician and U.S. Senator known for his conservative positions and prominent role in early 20th-century national politics.

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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123378140819090a30453c1db7f38 completed April 28, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5b93fb7cdc81909e3b598f18d689ae completed July 18, 2026, 2:55 p.m.
NEDg Description generation batch_6a5b944fd8608190bf1b32e3e181aca0 completed July 18, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_6a5b9c63dde881908ce1d8fb1cc4b909 completed July 18, 2026, 3:31 p.m.
Created at: April 16, 2026, 7:43 p.m.