Triple

T33415648

Position	Surface form	Disambiguated ID	Type / Status
Subject	Academy Award for Best Supporting Actress for Bullets Over Broadway	`E855706`	entity
Predicate	winningRole	`P139936`	FINISHED
Object	Helen Sinclair Helen Sinclair is a flamboyant, aging Broadway diva character from Woody Allen's film "Bullets Over Broadway," portrayed by Dianne Wiest in an Academy Award-winning performance.	`E2065288`	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: Helen Sinclair | Statement: [Academy Award for Best Supporting Actress for Bullets Over Broadway, winningRole, Helen Sinclair]

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: Helen Sinclair
Triple: [Academy Award for Best Supporting Actress for Bullets Over Broadway, winningRole, Helen Sinclair]

Generated description

Helen Sinclair is a flamboyant, aging Broadway diva character from Woody Allen's film "Bullets Over Broadway," portrayed by Dianne Wiest in an Academy Award-winning performance.

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

Target predicate: winningRole
Context triple: [Academy Award for Best Supporting Actress for Bullets Over Broadway, winningRole, Helen Sinclair]

A. winnerRole chosen
Indicates the role or position held by the entity that is the winner in a given event or competition.
B. winnerCharacter
Indicates that one entity is the character who wins or is victorious in a given event, contest, or situation involving another entity.
C. winnerAssociated
Indicates that there is a relevant connection or affiliation between a winner and another entity in the context of a particular event or competition.
D. winningPerformer
Indicates that the referenced performer is the one who achieved victory or first place in a particular competition, event, or contest.
E. winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
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_69f3496f04a08190804e56ac5098b8e4`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69f6e47f37848190aadb137c81760f1f`	completed	May 3, 2026, 6 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a365c58426481909a2d839b73b13d68`	completed	June 20, 2026, 9:24 a.m.
NEDg	Description generation	`batch_6a365d7935a88190b000d2796538d01a`	completed	June 20, 2026, 9:29 a.m.
NED2	Entity disambiguation (via description)	`batch_6a365eb1179c8190ae151cec4930fe91`	completed	June 20, 2026, 9:34 a.m.
PD	Predicate disambiguation	`batch_69f6e3da41948190a4cfe866ce184f73`	completed	May 3, 2026, 5:57 a.m.

Created at: May 1, 2026, 1:36 a.m.