Triple

T35504062

Position	Surface form	Disambiguated ID	Type / Status
Subject	Spencer Bachus	`E1026092`	entity
Predicate	precededByAsUSRepresentativeForAlabama's6thDistrict	`P151140`	FINISHED
Object	Ben Erdreich Ben Erdreich is a former Democratic U.S. Representative from Alabama who served in Congress during the 1980s before being succeeded by Spencer Bachus.	`E2285404`	NE FINISHED

How this triple was built (3 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: Ben Erdreich | Statement: [Spencer Bachus, precededByAsUSRepresentativeForAlabama's6thDistrict, Ben Erdreich]

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: Ben Erdreich
Triple: [Spencer Bachus, precededByAsUSRepresentativeForAlabama's6thDistrict, Ben Erdreich]

Generated description

Ben Erdreich is a former Democratic U.S. Representative from Alabama who served in Congress during the 1980s before being succeeded by Spencer Bachus.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: precededByAsUSRepresentativeForAlabama's6thDistrict
Context triple: [Spencer Bachus, precededByAsUSRepresentativeForAlabama's6thDistrict, Ben Erdreich]

A. precededByAsUSRepresentative chosen
Indicates that one individual previously served as a U.S. Representative before being succeeded in that role by another individual.
B. succeededByAsUSRepresentative
Indicates that one individual was followed in office by another individual as a United States Representative.
C. precededByAsGovernor
Indicates that one individual previously held the position of governor before another specific individual.
D. precededByAsChairOfWaysAndMeans
Indicates that one entity previously served as chair of the Ways and Means Committee before another entity.
E. precededInSenateBy
Indicates that one officeholder directly held a given Senate seat before another officeholder, in terms of succession to that seat.
F. None of above.

Provenance (6 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_69f76dfc9c60819089c4217d93922615`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79`	completed	May 8, 2026, 7:18 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a45e4b938588190aa9cd524635fd083`	completed	July 2, 2026, 4:10 a.m.
NEDg	Description generation	`batch_6a45eac1bde88190a366d8eaa38b89c6`	completed	July 2, 2026, 4:36 a.m.
NED2	Entity disambiguation (via description)	`batch_6a45eb7685d48190af5a26b894c84c9f`	completed	July 2, 2026, 4:39 a.m.
PD	Predicate disambiguation	`batch_69fd8d8a16f08190b9e880901bfa44fe`	completed	May 8, 2026, 7:15 a.m.

Created at: May 3, 2026, 4:04 p.m.