Triple
T3188144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Châtenay-Malabry |
E66751
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Carl Segaud
Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
|
E443536
|
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: Carl Segaud | Statement: [Châtenay-Malabry, hasMayor, Carl Segaud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Segaud Context triple: [Châtenay-Malabry, hasMayor, Carl Segaud]
-
A.
Karl Schaefer
Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
-
B.
Walter Naegle
Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
-
C.
Carl Spitz
Carl Spitz was a renowned German-American dog trainer best known for training Toto in the classic film "The Wizard of Oz."
-
D.
William Sachse
William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
-
E.
William Perlberg
William Perlberg was a prominent American film producer active during Hollywood's studio era, known for overseeing a range of successful comedies and dramas.
- 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: Carl Segaud Triple: [Châtenay-Malabry, hasMayor, Carl Segaud]
Generated description
Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Segaud Target entity description: Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
-
A.
Karl Schaefer
Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
-
B.
Walter Naegle
Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
-
C.
Carl Spitz
Carl Spitz was a renowned German-American dog trainer best known for training Toto in the classic film "The Wizard of Oz."
-
D.
William Sachse
William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
-
E.
William Perlberg
William Perlberg was a prominent American film producer active during Hollywood's studio era, known for overseeing a range of successful comedies and dramas.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e491508190bc881feaee3889bc |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b636ee2ed88190b37c7f6027d7623b |
completed | March 15, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_69b6379d22448190976a84a18cf85ca6 |
completed | March 15, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b638b105e88190a02c515a3416a026 |
completed | March 15, 2026, 4:42 a.m. |
Created at: March 8, 2026, 3:06 p.m.