Triple

T36500284

Position	Surface form	Disambiguated ID	Type / Status
Subject	Act IV of Much Ado About Nothing	`E899305`	entity
Predicate	characterInvolved	`P200812`	FINISHED
Object	Hero Hero is the virtuous and wrongfully accused young noblewoman in Shakespeare’s comedy "Much Ado About Nothing," whose apparent disgrace and later vindication drive much of the play’s dramatic tension.	`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: [Act IV of Much Ado About Nothing, characterInvolved, 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: [Act IV of Much Ado About Nothing, characterInvolved, Hero]

Generated description

Hero is the virtuous and wrongfully accused young noblewoman in Shakespeare’s comedy "Much Ado About Nothing," whose apparent disgrace and later vindication drive much of the play’s dramatic tension.

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

Target predicate: characterInvolved
Context triple: [Act IV of Much Ado About Nothing, characterInvolved, Hero]

A. characterInvolvedIn chosen
Indicates that a character participates in, is associated with, or plays a role in a particular event, action, or situation.
B. involvedActor
Indicates that an entity participates as an actor or participant in the referenced event, activity, or situation.
C. implicatedPerson
Indicates that a person is alleged or shown to be involved in, responsible for, or connected to a particular event, action, or wrongdoing.
D. constantInvolved
Indicates that a constant participates in or is directly involved in the specified relation, operation, or context.
E. crewInvolvedIn
Indicates that a crew (as a group or unit) participates in, contributes to, or is otherwise involved in a specified event, activity, or operation.
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_69f76e5b92088190933afda3f7531dd4`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69ffbb1c5bf88190a0bf791213045885`	completed	May 9, 2026, 10:54 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39dbcdbcf481909e32bf53079161a0`	completed	June 23, 2026, 1:05 a.m.
NEDg	Description generation	`batch_6a39dcad4370819093a89f7a64c1b4dc`	completed	June 23, 2026, 1:09 a.m.
NED2	Entity disambiguation (via description)	`batch_6a39e1c8a4d48190b23a4a436f08893f`	completed	June 23, 2026, 1:30 a.m.
PD	Predicate disambiguation	`batch_69ffba0ab0f881908f84ef81f7a1bfe8`	completed	May 9, 2026, 10:49 p.m.

Created at: May 3, 2026, 4:10 p.m.