Triple

T33889016
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Savannah E868706 entity
Predicate officeHolder P537 FINISHED
Object J. C. Lewis Jr.
J. C. Lewis Jr. was an American businessman and politician who served as mayor of Savannah, Georgia, during the mid-20th century.
 E2073421 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: J. C. Lewis Jr. | Statement: [Mayor of Savannah, officeHolder, J. C. Lewis Jr.]
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: J. C. Lewis Jr.
Triple: [Mayor of Savannah, officeHolder, J. C. Lewis Jr.]
Generated description
J. C. Lewis Jr. was an American businessman and politician who served as mayor of Savannah, Georgia, during the mid-20th century.

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_69f34996761c8190864e42f7c9cf215b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701438ec08190bbf64924ab6f0d5a completed May 3, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36823814588190bcf0431a7825f540 completed June 20, 2026, 12:06 p.m.
NEDg Description generation batch_6a3683b5ac0881909f03e1e94896067d completed June 20, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_6a36848248c081909b5ab57a8c3accc6 completed June 20, 2026, 12:16 p.m.
Created at: May 1, 2026, 1:48 a.m.