Triple

T33497391

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kaminker	`E857899`	entity
Predicate	usedBeforeStageName	`P109840`	FINISHED
Object	Signoret Signoret is the stage surname of French actress Simone Signoret, renowned for her powerful performances in mid-20th-century European cinema and her Academy Award–winning role in "Room at the Top."	`E2052687`	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: Signoret | Statement: [Kaminker, usedBeforeStageName, Signoret]

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: Signoret
Triple: [Kaminker, usedBeforeStageName, Signoret]

Generated description

Signoret is the stage surname of French actress Simone Signoret, renowned for her powerful performances in mid-20th-century European cinema and her Academy Award–winning role in "Room at the Top."

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

Target predicate: usedBeforeStageName
Context triple: [Kaminker, usedBeforeStageName, Signoret]

A. usedStageNameUntil
Indicates that an entity used a particular stage name up to a specified point in time, after which it was no longer used.
B. usedBeforeNameOf
Indicates that one element is used immediately before the name of another element, typically as a prefix or preceding modifier.
C. precededByStageName chosen
Indicates that one stage name was used earlier in time and was subsequently replaced by another stage name for the same entity.
D. usedStage
Indicates that an entity made use of a particular stage or phase within a process, workflow, or lifecycle.
E. usedBefore
Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
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_69f3497660508190a541826a81f7e9ab`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69fcf36d2894819089b7db8e91b63c9d`	completed	May 7, 2026, 8:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3595bf90fc81908e34a50024ca94ac`	completed	June 19, 2026, 7:17 p.m.
NEDg	Description generation	`batch_6a3596afcad88190891d62137b93e1bb`	completed	June 19, 2026, 7:21 p.m.
NED2	Entity disambiguation (via description)	`batch_6a35972e0a908190b5e85121a47577a3`	completed	June 19, 2026, 7:23 p.m.
PD	Predicate disambiguation	`batch_69fcf25c0a108190bfa823474098640b`	completed	May 7, 2026, 8:13 p.m.

Created at: May 1, 2026, 1:38 a.m.