Triple

T20166624
Position Surface form Disambiguated ID Type / Status
Subject Pierre Manent E491839 entity
Predicate familyName P18 FINISHED
Object Manent
Manent is a French surname most notably associated with political philosopher Pierre Manent.
 E1414551 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: Manent | Statement: [Pierre Manent, familyName, Manent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manent
Context triple: [Pierre Manent, familyName, Manent]
  • A. Manaen
    Manaen was an early Christian leader mentioned in the New Testament as a prophet and teacher in the church at Antioch, noted for having been brought up with Herod the tetrarch.
  • B. Mandark
    Mandark is the villainous boy genius and rival scientist to Dexter in the animated television series "Dexter's Laboratory."
  • C. Mantarys
    Mantarys is a mysterious and ominous city in the world of "A Song of Ice and Fire," known for its sorcerous reputation, strange customs, and proximity to the ruins of Valyria.
  • D. Manech
    Manech is the young French soldier whose mysterious fate during World War I drives the romantic and investigative plot of the novel and film "A Very Long Engagement."
  • E. Mardian
    Mardian is a minor eunuch and servant in William Shakespeare’s tragedy "Antony and Cleopatra," known for his loyalty to Cleopatra.
  • 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: Manent
Triple: [Pierre Manent, familyName, Manent]
Generated description
Manent is a French surname most notably associated with political philosopher Pierre Manent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manent
Target entity description: Manent is a French surname most notably associated with political philosopher Pierre Manent.
  • A. Manaen
    Manaen was an early Christian leader mentioned in the New Testament as a prophet and teacher in the church at Antioch, noted for having been brought up with Herod the tetrarch.
  • B. Mandark
    Mandark is the villainous boy genius and rival scientist to Dexter in the animated television series "Dexter's Laboratory."
  • C. Mantarys
    Mantarys is a mysterious and ominous city in the world of "A Song of Ice and Fire," known for its sorcerous reputation, strange customs, and proximity to the ruins of Valyria.
  • D. Manech
    Manech is the young French soldier whose mysterious fate during World War I drives the romantic and investigative plot of the novel and film "A Very Long Engagement."
  • E. Mardian
    Mardian is a minor eunuch and servant in William Shakespeare’s tragedy "Antony and Cleopatra," known for his loyalty to Cleopatra.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08347f265c8190af58b1d960fb34fd completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a0835b123dc8190a666dbeda18b9bc9 completed May 16, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a083677d1148190add2826f6e8a0b14 completed May 16, 2026, 9:18 a.m.
Created at: April 11, 2026, 11:35 p.m.