Triple

T13209604
Position Surface form Disambiguated ID Type / Status
Subject Camille Pelletan E314452 entity
Predicate familyName P18 FINISHED
Object Pelletan
Pelletan is a French surname associated with several notable figures in France’s political and intellectual history.
 E1027476 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: Pelletan | Statement: [Camille Pelletan, familyName, Pelletan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pelletan
Context triple: [Camille Pelletan, familyName, Pelletan]
  • A. La Pelona
    La Pelona is a volcanic peak in the Dominican Republic that forms part of the San Cristóbal region’s volcanic landscape.
  • B. La Pelona
    La Pelona is one of the highest mountain peaks in the Dominican Republic, located within the Cordillera Central range.
  • C. Piyassili
    Piyassili was a Hittite prince and military leader, known for governing Syrian territories such as Carchemish under his father, King Suppiluliuma I.
  • D. Petelia
    Petelia was an ancient city in southern Italy that served as the principal center of the Bruttian people.
  • E. Pandro
    Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
  • 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: Pelletan
Triple: [Camille Pelletan, familyName, Pelletan]
Generated description
Pelletan is a French surname associated with several notable figures in France’s political and intellectual history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pelletan
Target entity description: Pelletan is a French surname associated with several notable figures in France’s political and intellectual history.
  • A. La Pelona
    La Pelona is a volcanic peak in the Dominican Republic that forms part of the San Cristóbal region’s volcanic landscape.
  • B. La Pelona
    La Pelona is one of the highest mountain peaks in the Dominican Republic, located within the Cordillera Central range.
  • C. Piyassili
    Piyassili was a Hittite prince and military leader, known for governing Syrian territories such as Carchemish under his father, King Suppiluliuma I.
  • D. Petelia
    Petelia was an ancient city in southern Italy that served as the principal center of the Bruttian people.
  • E. Pandro
    Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9e072c8190b66e2c2430628ed0 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f79703588190ba088971da54340f completed May 3, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6f89072a88190b3182f581b1b6762 completed May 3, 2026, 7:26 a.m.
Created at: April 9, 2026, 9:17 p.m.