Triple

T27336533
Position Surface form Disambiguated ID Type / Status
Subject Charles Bergstresser E689966 entity
Predicate partnerOf P1136 FINISHED
Object Edward Davis Jones
Edward Davis Jones was an American statistician and journalist best known as the co-founder and namesake of the Dow Jones & Company and the Dow Jones Industrial Average.
 E1769733 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: Edward Davis Jones | Statement: [Charles Bergstresser, partnerOf, Edward Davis Jones]
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: Edward Davis Jones
Triple: [Charles Bergstresser, partnerOf, Edward Davis Jones]
Generated description
Edward Davis Jones was an American statistician and journalist best known as the co-founder and namesake of the Dow Jones & Company and the Dow Jones Industrial Average.

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_69ef355e5b388190a8fc1eba9b4a6656 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62acff3148190b836044eaadb1f9b completed May 2, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7d082f48190a17c5e415d2b1caf completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a9369fb081909cf7728dcb943585 completed May 24, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12aa051060819082b52092cdccd0d5 completed May 24, 2026, 7:34 a.m.
Created at: April 27, 2026, 11:40 a.m.