Triple

T21662010
Position Surface form Disambiguated ID Type / Status
Subject Antoine Pinay E534616 entity
Predicate familyName P18 FINISHED
Object Pinay
Pinay is a French surname most notably borne by Antoine Pinay, a mid-20th-century French politician and former Prime Minister.
 E1495645 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: Pinay | Statement: [Antoine Pinay, familyName, Pinay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pinay
Context triple: [Antoine Pinay, familyName, Pinay]
  • A. Maay Maay
    Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
  • B. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • C. Miraya Bikol
    Miraya Bikol is a regional Bikol language variety spoken in parts of the Bicol Peninsula in the Philippines.
  • D. Janay-Janay
    Janay-Janay is a rural barangay (village-level administrative division) within the municipality of San Jose in Negros Oriental, Philippines.
  • E. Pincoy
    Pincoy is a male water spirit from Chilote mythology, often depicted as a handsome merman who helps govern the sea and guide the souls of the drowned.
  • 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: Pinay
Triple: [Antoine Pinay, familyName, Pinay]
Generated description
Pinay is a French surname most notably borne by Antoine Pinay, a mid-20th-century French politician and former Prime Minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pinay
Target entity description: Pinay is a French surname most notably borne by Antoine Pinay, a mid-20th-century French politician and former Prime Minister.
  • A. Maay Maay
    Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
  • B. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • C. Miraya Bikol
    Miraya Bikol is a regional Bikol language variety spoken in parts of the Bicol Peninsula in the Philippines.
  • D. Janay-Janay
    Janay-Janay is a rural barangay (village-level administrative division) within the municipality of San Jose in Negros Oriental, Philippines.
  • E. Pincoy
    Pincoy is a male water spirit from Chilote mythology, often depicted as a handsome merman who helps govern the sea and guide the souls of the drowned.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0883d481908dfdc66832c34d74 completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a159e783081908b025a92bfa658c9 completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16c278188190855335930666cede completed May 17, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17a2c81481908e229ea58e61843e completed May 17, 2026, 7:31 p.m.
Created at: April 16, 2026, 6:36 p.m.