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.