Triple

T33243497

Position	Surface form	Disambiguated ID	Type / Status
Subject	Margaret	`E851029`	entity
Predicate	unknowinglyImpersonates	`P176243`	FINISHED
Object	Hero Hero is a central character in Shakespeare’s play "Much Ado About Nothing," known as the virtuous young noblewoman whose honor is falsely questioned, driving much of the drama’s conflict.	`E259335`	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: Hero | Statement: [Margaret, unknowinglyImpersonates, Hero]

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: Hero
Triple: [Margaret, unknowinglyImpersonates, Hero]

Generated description

Hero is a central character in Shakespeare’s play "Much Ado About Nothing," known as the virtuous young noblewoman whose honor is falsely questioned, driving much of the drama’s conflict.

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

Target predicate: unknowinglyImpersonates
Context triple: [Margaret, unknowinglyImpersonates, Hero]

A. canMimic
Indicates that one entity has the ability to imitate or reproduce the behavior, appearance, or characteristics of another entity.
B. allegedImpostor
Indicates that one entity is claimed or suspected to be fraudulently posing as another entity.
C. notARealPerson
Indicates that the referenced entity is fictional, artificial, or otherwise not an actual human being in reality.
D. disguisedAs
Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
E. actsInSteadOf
Indicates that one entity performs an action or fulfills a role as a substitute or proxy for another entity.
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_69f34962386c81909ddc3bf9e18ddeb8`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69f6dd3cc0648190a275812d6711275a`	completed	May 3, 2026, 5:29 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a35390b76048190afbd482a3c04644a`	completed	June 19, 2026, 12:41 p.m.
NEDg	Description generation	`batch_6a353977b4b48190892bfcc064163635`	completed	June 19, 2026, 12:43 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3539ff8c8c8190b93cfa18e222167a`	completed	June 19, 2026, 12:45 p.m.
PD	Predicate disambiguation	`batch_69f6d82eaee081908f06a71546315aea`	completed	May 3, 2026, 5:07 a.m.
PDg	Predicate description generation	`batch_69f6dd3b335481909e24d4eb5b0269f9`	completed	May 3, 2026, 5:29 a.m.

Created at: May 1, 2026, 1:31 a.m.