Triple

T26962341

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ralph DLG Torres	`E679079`	entity
Predicate	succeededByAsLieutenantGovernor	`P181401`	FINISHED
Object	Victor Hocog Victor Hocog is a Northern Mariana Islands politician who served as lieutenant governor following Ralph DLG Torres.	`E1753405`	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 Hocog | Statement: [Ralph DLG Torres, succeededByAsLieutenantGovernor, Victor Hocog]

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 Hocog
Triple: [Ralph DLG Torres, succeededByAsLieutenantGovernor, Victor Hocog]

Generated description

Victor Hocog is a Northern Mariana Islands politician who served as lieutenant governor following Ralph DLG Torres.

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

Target predicate: succeededByAsLieutenantGovernor
Context triple: [Ralph DLG Torres, succeededByAsLieutenantGovernor, Victor Hocog]

A. precededByAsLieutenantGovernor
Indicates that one individual previously served as lieutenant governor immediately before another individual in a succession or office-holding sequence.
B. succeededBy (Lieutenant Governor of Virginia)
Indicates that one individual later held the office of Lieutenant Governor of Virginia after another, directly following them in that position.
C. succeededByAsGovernorGeneral
Indicates that one entity directly followed another in holding the position of Governor General.
D. succeededBy (Governor of California)
Indicates that one individual directly follows another in holding the office of Governor of California.
E. succeededByAsChiefMinister
Indicates that one individual directly followed another in the role of Chief Minister.
F. None of above. chosen

Provenance (7 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_69eeeb4f3a448190b1e94b2d4776c16e`	completed	April 27, 2026, 4:51 a.m.
NER	Named-entity recognition	`batch_69f7764ab1fc81909f9348db87bd7692`	completed	May 3, 2026, 4:22 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a123aaa71588190b25f802a3a182fc5`	completed	May 23, 2026, 11:39 p.m.
NEDg	Description generation	`batch_6a123b7235d081909cc231c0b1cc9b30`	completed	May 23, 2026, 11:42 p.m.
NED2	Entity disambiguation (via description)	`batch_6a123c1995688190a630954191d4e905`	completed	May 23, 2026, 11:45 p.m.
PD	Predicate disambiguation	`batch_69f76905d9c88190b1ee810bc9ab644f`	completed	May 3, 2026, 3:25 p.m.
PDg	Predicate description generation	`batch_69f77648979c8190b6cdbb835ab8987c`	completed	May 3, 2026, 4:22 p.m.

Created at: April 27, 2026, 6:32 a.m.