Triple

T16252082
Position Surface form Disambiguated ID Type / Status
Subject Gil Mellé E394533 entity
Predicate familyName P18 FINISHED
Object Mellé
Mellé is a French surname most notably borne by Gil Mellé, an American jazz musician and film and television composer.
E1202911 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: Mellé | Statement: [Gil Mellé, familyName, Mellé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mellé
Context triple: [Gil Mellé, familyName, Mellé]
  • A. Mèze
    Mèze is a historic fishing and wine-producing town in southern France’s Hérault department, known for its oyster farming and location on the Mediterranean coast.
  • B. Melle
    Melle is a municipality in the Belgian province of East Flanders, known for its historic town center and proximity to the city of Ghent.
  • C. Melle
    Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
  • D. Melle
    Melle is a town in the German state of North Rhine-Westphalia, known for its location in the Osnabrück district and its mix of industrial and rural character.
  • E. Mialet
    Mialet is a commune in the Gard department of southern France, known for its scenic Cévennes landscape and proximity to notable caves and natural attractions.
  • 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: Mellé
Triple: [Gil Mellé, familyName, Mellé]
Generated description
Mellé is a French surname most notably borne by Gil Mellé, an American jazz musician and film and television composer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mellé
Target entity description: Mellé is a French surname most notably borne by Gil Mellé, an American jazz musician and film and television composer.
  • A. Mèze
    Mèze is a historic fishing and wine-producing town in southern France’s Hérault department, known for its oyster farming and location on the Mediterranean coast.
  • B. Melle
    Melle is a municipality in the Belgian province of East Flanders, known for its historic town center and proximity to the city of Ghent.
  • C. Melle
    Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
  • D. Melle
    Melle is a town in the German state of North Rhine-Westphalia, known for its location in the Osnabrück district and its mix of industrial and rural character.
  • E. Mialet
    Mialet is a commune in the Gard department of southern France, known for its scenic Cévennes landscape and proximity to notable caves and natural attractions.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24597b74481908fdb8175628a57a1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00113900c88190bf7f56ca4b16a84c completed May 10, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0011d98f708190805c84d63ed79aaa completed May 10, 2026, 5:04 a.m.
Created at: April 10, 2026, 5:04 a.m.