Triple

T2416343
Position Surface form Disambiguated ID Type / Status
Subject Alcatel E52311 entity
Predicate founder P104 FINISHED
Object Pierre Azaria
Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
E284508 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: Pierre Azaria | Statement: [Alcatel, founder, Pierre Azaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Azaria
Context triple: [Alcatel, founder, Pierre Azaria]
  • A. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • B. Laurent Durand
    Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
  • C. Antoine Nahas
    Antoine Nahas was a Lebanese architect best known for designing the National Museum of Beirut, a landmark institution of Lebanon’s cultural heritage.
  • D. Bertrand Fagalde
    Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
  • E. Jean-Claude Kalache
    Jean-Claude Kalache is a cinematographer and lighting artist best known for his work on Pixar animated films such as Monsters, Inc.
  • 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: Pierre Azaria
Triple: [Alcatel, founder, Pierre Azaria]
Generated description
Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pierre Azaria
Target entity description: Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
  • A. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • B. Laurent Durand
    Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
  • C. Antoine Nahas
    Antoine Nahas was a Lebanese architect best known for designing the National Museum of Beirut, a landmark institution of Lebanon’s cultural heritage.
  • D. Bertrand Fagalde
    Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
  • E. Jean-Claude Kalache
    Jean-Claude Kalache is a cinematographer and lighting artist best known for his work on Pixar animated films such as Monsters, Inc.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94d048481908409d60129aef747 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9060a6b88190b80e5fb0970957e1 completed March 10, 2026, 3:30 a.m.
NEDg Description generation batch_69af91c6de008190ad8fb3a3c06472cb completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af92500920819082c651f75a06dd72 completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:42 p.m.