Triple

T2770481
Position Surface form Disambiguated ID Type / Status
Subject Le Coup d’État permanent E61442 entity
Predicate publisher P29 FINISHED
Object Plon
Plon is a long-established French publishing house known for releasing significant works of literature, history, and political thought.
 E296858 NE FINISHED

How this triple was built (4 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: Plon | Statement: [Le Coup d’État permanent, publisher, Plon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plon
Context triple: [Le Coup d’État permanent, publisher, Plon]
  • A. Plaka
    Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
  • B. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • C. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • D. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • E. Plasmolen
    Plasmolen is a small village in the Dutch province of Limburg, known for its scenic forests, hills, and recreational areas near the Maas River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Plon
Triple: [Le Coup d’État permanent, publisher, Plon]
Generated description
Plon is a long-established French publishing house known for releasing significant works of literature, history, and political thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plon
Target entity description: Plon is a long-established French publishing house known for releasing significant works of literature, history, and political thought.
  • A. Plaka
    Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
  • B. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • C. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • D. Brupass
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • E. Plasmolen
    Plasmolen is a small village in the Dutch province of Limburg, known for its scenic forests, hills, and recreational areas near the Maas River.
  • F. None of above. chosen

Provenance (5 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd690b24819095647dd4a4f902bb completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05061808190abe709eff7a8c986 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0b6f7208190ac4f135ae72f0336 completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc133f8088190bd505db0d0d1d6f7 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.