Triple

T22103468

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Pirate Queen	`E546225`	entity
Predicate	originalElizabethIActor	`P146988`	FINISHED
Object	Linda Balgord Linda Balgord is an American stage actress and singer best known for her work in major Broadway productions and national tours, including roles in shows like The Pirate Queen and The Phantom of the Opera.	`E1851159`	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: Linda Balgord | Statement: [The Pirate Queen, originalElizabethIActor, Linda Balgord]

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: Linda Balgord
Triple: [The Pirate Queen, originalElizabethIActor, Linda Balgord]

Generated description

Linda Balgord is an American stage actress and singer best known for her work in major Broadway productions and national tours, including roles in shows like The Pirate Queen and The Phantom of the Opera.

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

Target predicate: originalElizabethIActor
Context triple: [The Pirate Queen, originalElizabethIActor, Linda Balgord]

A. hasElizabethIAs
Indicates that the subject has Elizabeth I in the specified role, capacity, or relation.
B. PrincessElizabethRole
Indicates that an entity holds or is assigned the role or title associated with Princess Elizabeth in a given context.
C. lizabethScottRole
Indicates that the subject is a role or character portrayed by Lizabeth Scott.
D. ElizabethIITenureEnd
Indicates the point in time when Queen Elizabeth II’s period of reign or official tenure came to an end.
E. ElizabethAction
Indicates that Elizabeth performs, initiates, or is responsible for a particular action or activity in relation to other entities.
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_69e11e378dc08190896d6a51597afd5a`	completed	April 16, 2026, 5:36 p.m.
NER	Named-entity recognition	`batch_69f129175a7881909549883f23c53dca`	completed	April 28, 2026, 9:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a25377b44bc81909ec4c1952d8cfad0`	completed	June 7, 2026, 9:18 a.m.
NEDg	Description generation	`batch_6a253bdcaf2c8190b24d33e76d6efc78`	completed	June 7, 2026, 9:37 a.m.
NED2	Entity disambiguation (via description)	`batch_6a253fd1f0488190abea40d50e953b04`	completed	June 7, 2026, 9:54 a.m.
PD	Predicate disambiguation	`batch_69e71b20ec50819096ac196c798f8e3c`	completed	April 21, 2026, 6:37 a.m.
PDg	Predicate description generation	`batch_69e7222d208c819098b12c13e31af629`	completed	April 21, 2026, 7:07 a.m.

Created at: April 16, 2026, 8:30 p.m.