Triple
T12596698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perron |
E300750
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Pierre Perron
Pierre Perron was a Canadian econometrician known for his influential work on time series analysis, particularly structural breaks and unit root testing.
|
E1075444
|
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: Pierre Perron | Statement: [Perron, hasNotableBearer, Pierre Perron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Perron Context triple: [Perron, hasNotableBearer, Pierre Perron]
-
A.
Pierre LeBrun
Pierre LeBrun was an American architect of the early 20th century known for designing prominent skyscrapers and commercial buildings, particularly in New York City.
-
B.
Pierre Lefèvre
Pierre Lefèvre is an alternative name for Pierre Favre, a notable historical figure whose identity is better known under his primary name.
-
C.
Pierre Lafue
Pierre Lafue was a French writer and intellectual whose legacy is honored by a literary foundation prize bearing his name.
-
D.
Eugène Figuière
Eugène Figuière was a French publisher known for championing early 20th-century avant-garde and Cubist literature and art.
-
E.
Michel Perrimond
Michel Perrimond is a French local politician who serves as the mayor of the commune of Juvisy-sur-Orge in the Île-de-France region.
- 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: Pierre Perron Triple: [Perron, hasNotableBearer, Pierre Perron]
Generated description
Pierre Perron was a Canadian econometrician known for his influential work on time series analysis, particularly structural breaks and unit root testing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pierre Perron Target entity description: Pierre Perron was a Canadian econometrician known for his influential work on time series analysis, particularly structural breaks and unit root testing.
-
A.
Pierre LeBrun
Pierre LeBrun was an American architect of the early 20th century known for designing prominent skyscrapers and commercial buildings, particularly in New York City.
-
B.
Pierre Lefèvre
Pierre Lefèvre is an alternative name for Pierre Favre, a notable historical figure whose identity is better known under his primary name.
-
C.
Pierre Lafue
Pierre Lafue was a French writer and intellectual whose legacy is honored by a literary foundation prize bearing his name.
-
D.
Eugène Figuière
Eugène Figuière was a French publisher known for championing early 20th-century avant-garde and Cubist literature and art.
-
E.
Michel Perrimond
Michel Perrimond is a French local politician who serves as the mayor of the commune of Juvisy-sur-Orge in the Île-de-France region.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cf33b88190bff339fcd3142cc8 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc30fba90819096ea71152ed725e1 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc62b8b308190bbf13f8536bf4449 |
completed | May 6, 2026, 10:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc6b13f0481908ba6ff97421c8506 |
completed | May 6, 2026, 10:54 p.m. |
Created at: April 9, 2026, 5:08 p.m.