Triple

T35359085
Position Surface form Disambiguated ID Type / Status
Subject Claiborne Fox Jackson E1021421 entity
Predicate precededBy P97 FINISHED
Object Robert Marcellus Stewart
Robert Marcellus Stewart was an American politician who served as governor of Missouri in the mid-19th century, overseeing the state during a period of growing national tension before the Civil War.
E2138029 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: Robert Marcellus Stewart | Statement: [Claiborne Fox Jackson, precededBy, Robert Marcellus Stewart]
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: Robert Marcellus Stewart
Triple: [Claiborne Fox Jackson, precededBy, Robert Marcellus Stewart]
Generated description
Robert Marcellus Stewart was an American politician who served as governor of Missouri in the mid-19th century, overseeing the state during a period of growing national tension before the Civil War.

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_69f76def44c881908a20e8008572eb44 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7919c1d708190b552fa0255c4f3fa completed May 3, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382cb1cb508190b727f85b0e018105 completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382d9b560c8190aafc19ece32a2b5e completed June 21, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_6a382df6dadc81908924040fb46e5fcf completed June 21, 2026, 6:31 p.m.
Created at: May 3, 2026, 4:03 p.m.