Triple

T36947541

Position	Surface form	Disambiguated ID	Type / Status
Subject	Maria Enders	`E913955`	entity
Predicate	roleInPlayOriginal	`P11527`	FINISHED
Object	Sigrid Sigrid is the ambitious young assistant character in the play (and film) "Clouds of Sils Maria," whose complex relationship with the older actress Maria Enders drives the story’s exploration of power, aging, and identity.	`E2207294`	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: Sigrid | Statement: [Maria Enders, roleInPlayOriginal, Sigrid]

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: Sigrid
Triple: [Maria Enders, roleInPlayOriginal, Sigrid]

Generated description

Sigrid is the ambitious young assistant character in the play (and film) "Clouds of Sils Maria," whose complex relationship with the older actress Maria Enders drives the story’s exploration of power, aging, and identity.

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

Target predicate: roleInPlayOriginal
Context triple: [Maria Enders, roleInPlayOriginal, Sigrid]

A. roleInOrigin
Indicates that an entity holds or held a specific role, function, or position within the context of its origin or source.
B. roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
C. representedRole
Indicates that one entity serves as a stand-in, proxy, or representative performing a role on behalf of another entity.
D. roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
E. roleInText chosen
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
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_69f76e8b28848190abd81fe7a7374910`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a01c21d8bc481909dd9f5a6b89c0a92`	completed	May 11, 2026, 11:48 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3e2c34013c81908e59c15db9e68d18`	completed	June 26, 2026, 7:37 a.m.
NEDg	Description generation	`batch_6a3e2d2fe3088190910a35cb100d35d7`	completed	June 26, 2026, 7:41 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3e4b1e02ec8190b6eb26eb4626de91`	completed	June 26, 2026, 9:49 a.m.
PD	Predicate disambiguation	`batch_6a01bff5d1508190895e5bd2c04932b0`	completed	May 11, 2026, 11:39 a.m.

Created at: May 3, 2026, 4:13 p.m.