Triple

T31956720

Position	Surface form	Disambiguated ID	Type / Status
Subject	Nicolae Văcăroiu	`E815925`	entity
Predicate	successor (office: Prime Minister of Romania)	`P33240`	FINISHED
Object	Victor Ciorbea Victor Ciorbea is a Romanian politician and former trade union leader who served as Prime Minister of Romania in the late 1990s.	`E2021119`	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: Victor Ciorbea | Statement: [Nicolae Văcăroiu, successor (office: Prime Minister of Romania), Victor Ciorbea]

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: Victor Ciorbea
Triple: [Nicolae Văcăroiu, successor (office: Prime Minister of Romania), Victor Ciorbea]

Generated description

Victor Ciorbea is a Romanian politician and former trade union leader who served as Prime Minister of Romania in the late 1990s.

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

Target predicate: successor (office: Prime Minister of Romania)
Context triple: [Nicolae Văcăroiu, successor (office: Prime Minister of Romania), Victor Ciorbea]

A. successorAsFirstMinister
Indicates that one person assumes the role of First Minister immediately after another person, succeeding them in that office.
B. successorAsForeignMinister
Indicates that one person assumed the role of foreign minister directly after another person in an official succession.
C. successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
D. succeededByPrimeMinister
Indicates that one prime minister directly follows another in office as their immediate successor.
E. successorOfficeHolder chosen
Indicates that one office holder directly follows another in occupying the same official position.
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_69f348f4ec708190abbb2a7c3ed58844`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_69ff1e3e13c08190bb8990c44716b746`	completed	May 9, 2026, 11:45 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34a789507881909e2a54f72cddcdd4`	completed	June 19, 2026, 2:20 a.m.
NEDg	Description generation	`batch_6a34a88662148190b818f297a90e1a93`	completed	June 19, 2026, 2:25 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34a92a11748190a6205eb616f5b475`	completed	June 19, 2026, 2:27 a.m.
PD	Predicate disambiguation	`batch_69ff1dfcaf2c8190aaf2b428d57b7782`	completed	May 9, 2026, 11:43 a.m.

Created at: May 1, 2026, 12:08 a.m.