Triple
T10819050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Andrault |
E255313
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Michel Andrault |
E255313
|
NE FINISHED |
How this triple was built (2 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: Michel Andrault | Statement: [Michel Andrault, knownAs, Michel Andrault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Andrault Context triple: [Michel Andrault, knownAs, Michel Andrault]
-
A.
Michel Andrault
chosen
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
B.
Alain Lamassoure
Alain Lamassoure is a French politician and long-serving Member of the European Parliament known for his work on European integration and budgetary affairs.
-
C.
Michel Pinseau
Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
-
D.
Alain Glavieux
Alain Glavieux was a French engineer and information theorist best known as a co-inventor of turbo codes, a breakthrough in error-correcting coding that revolutionized digital communications.
-
E.
Jean-Pierre Blazy
Jean-Pierre Blazy is a French politician known for serving as the long-time mayor of the suburban Parisian commune of Gonesse.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734492be88190874ea0ba4d0fa643 |
completed | April 9, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8a9a12008190a86d8e11bf86d536 |
completed | May 8, 2026, 7:02 a.m. |
Created at: April 8, 2026, 9:18 p.m.