Triple

T25964312
Position Surface form Disambiguated ID Type / Status
Subject Bill Weld E645621 entity
Predicate reElectedIn P1240 FINISHED
Object 1994 Massachusetts gubernatorial election
The 1994 Massachusetts gubernatorial election was a statewide contest in which incumbent Republican Governor Bill Weld won a second term in office.
E1708192 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: 1994 Massachusetts gubernatorial election | Statement: [Bill Weld, reElectedIn, 1994 Massachusetts gubernatorial election]
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: 1994 Massachusetts gubernatorial election
Triple: [Bill Weld, reElectedIn, 1994 Massachusetts gubernatorial election]
Generated description
The 1994 Massachusetts gubernatorial election was a statewide contest in which incumbent Republican Governor Bill Weld won a second term in office.

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_69e77e85efc08190997da7fcf98bd300 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f604c8ef408190bfd4571fb262372b completed May 2, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b03b9b0819084b5ca64dedb4e36 completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111c0a65f881908a29d01412627de9 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111ca03b088190937f673d972fdca2 completed May 23, 2026, 3:18 a.m.
Created at: April 22, 2026, 8:48 a.m.