Triple

T34373590

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mon oncle d’Amérique	`E882226`	entity
Predicate	incorporatesWorkOf	`P111604`	FINISHED
Object	Henri Laborit Henri Laborit was a French surgeon, neurobiologist, and pioneering researcher in psychopharmacology and stress whose theories on human behavior were prominently featured in the film "Mon oncle d’Amérique."	`E2095628`	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: Henri Laborit | Statement: [Mon oncle d’Amérique, incorporatesWorkOf, Henri Laborit]

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: Henri Laborit
Triple: [Mon oncle d’Amérique, incorporatesWorkOf, Henri Laborit]

Generated description

Henri Laborit was a French surgeon, neurobiologist, and pioneering researcher in psychopharmacology and stress whose theories on human behavior were prominently featured in the film "Mon oncle d’Amérique."

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

Target predicate: incorporatesWorkOf
Context triple: [Mon oncle d’Amérique, incorporatesWorkOf, Henri Laborit]

A. coverOfWorkBy
Indicates that one work is a cover version or performance of another work originally created by a specified creator or artist.
B. containsWorksFrom chosen
Indicates that one entity includes or holds works that originate from or are created by another entity.
C. originalWorkBy
Indicates that one entity is the creator or originator of another entity (such as a work, idea, or product).
D. originatedInWorkBy
Indicates that something was created, derived, or first appeared within a particular work produced by a specific creator.
E. adaptedWorkOfAuthor
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
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_69f349bf5d7481908dd5da4cbdf74047`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f71c35327c8190884f1bfe12bd2cd7`	completed	May 3, 2026, 9:58 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a370db872808190851fb85c2c253bc9`	completed	June 20, 2026, 10:01 p.m.
NEDg	Description generation	`batch_6a370eb21a108190a8abe1164cddbac9`	completed	June 20, 2026, 10:05 p.m.
NED2	Entity disambiguation (via description)	`batch_6a370f28a640819080ccc586b22bd785`	completed	June 20, 2026, 10:07 p.m.
PD	Predicate disambiguation	`batch_69f71822d0e88190ac9731c7ae5a4def`	completed	May 3, 2026, 9:40 a.m.

Created at: May 1, 2026, 1:59 a.m.