Triple

T11665316
Position Surface form Disambiguated ID Type / Status
Subject Gérard Mourou E277233 entity
Predicate familyName P18 FINISHED
Object Mourou
Mourou is the surname of Gérard Mourou, a French physicist and Nobel laureate known for pioneering chirped pulse amplification in laser physics.
E939152 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: Mourou | Statement: [Gérard Mourou, familyName, Mourou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mourou
Context triple: [Gérard Mourou, familyName, Mourou]
  • A. Mourle
    Mourle is an alternative name for the Murle language spoken by the Murle people of South Sudan and neighboring regions.
  • B. Molat
    Molat is a small Croatian island in the Adriatic Sea, known for its tranquil villages, clear waters, and relatively untouched natural landscapes within Zadar County.
  • C. Mounana
    Mounana is a town in southeastern Gabon known historically for its uranium mining activities.
  • D. Meyrueis
    Meyrueis is a small commune in southern France’s Lozère department, known as a gateway to the Gorges de la Jonte and surrounding limestone plateaus in the Cévennes region.
  • E. Bourkika
    Bourkika is a town and commune in northern Algeria, situated within the coastal Tipaza Province west of Algiers.
  • 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: Mourou
Triple: [Gérard Mourou, familyName, Mourou]
Generated description
Mourou is the surname of Gérard Mourou, a French physicist and Nobel laureate known for pioneering chirped pulse amplification in laser physics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mourou
Target entity description: Mourou is the surname of Gérard Mourou, a French physicist and Nobel laureate known for pioneering chirped pulse amplification in laser physics.
  • A. Mourle
    Mourle is an alternative name for the Murle language spoken by the Murle people of South Sudan and neighboring regions.
  • B. Molat
    Molat is a small Croatian island in the Adriatic Sea, known for its tranquil villages, clear waters, and relatively untouched natural landscapes within Zadar County.
  • C. Mounana
    Mounana is a town in southeastern Gabon known historically for its uranium mining activities.
  • D. Meyrueis
    Meyrueis is a small commune in southern France’s Lozère department, known as a gateway to the Gorges de la Jonte and surrounding limestone plateaus in the Cévennes region.
  • E. Bourkika
    Bourkika is a town and commune in northern Algeria, situated within the coastal Tipaza Province west of Algiers.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee88355fe08190b16b417c12e69e1a completed April 26, 2026, 9:48 p.m.
NEDg Description generation batch_69eeb316ba948190a39dfc80d6245b17 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9b59f448190b97ecd05c843ce78 completed April 27, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:39 p.m.