Triple

T28267912
Position Surface form Disambiguated ID Type / Status
Subject J. William Fulbright E712757 entity
Predicate notableWork P4 FINISHED
Object Fulbright Act of 1946
The Fulbright Act of 1946 is the U.S. law that created the Fulbright Program, establishing government-funded international educational exchanges to promote mutual understanding between nations.
 E1811418 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: Fulbright Act of 1946 | Statement: [J. William Fulbright, notableWork, Fulbright Act of 1946]
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: Fulbright Act of 1946
Triple: [J. William Fulbright, notableWork, Fulbright Act of 1946]
Generated description
The Fulbright Act of 1946 is the U.S. law that created the Fulbright Program, establishing government-funded international educational exchanges to promote mutual understanding between nations.

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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6441ed6ac8190ad25d951de739a62 completed May 2, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16071b851c81909fe01b8e2b4d7892 completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a16170c4b3081909877a90f7a08898a completed May 26, 2026, 9:56 p.m.
NED2 Entity disambiguation (via description) batch_6a161794dad481909c4b6237e59b5e3b completed May 26, 2026, 9:58 p.m.
Created at: April 27, 2026, 11:15 p.m.