Triple
T14991744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenner |
E373850
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Joël Brenner
Joël Brenner is an American lawyer and former U.S. national counterintelligence executive known for his work on intelligence, cybersecurity, and privacy issues.
|
E1132344
|
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: Joël Brenner | Statement: [Brenner, hasNotableBearer, Joël Brenner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joël Brenner Context triple: [Brenner, hasNotableBearer, Joël Brenner]
-
A.
Marc Breitman
Marc Breitman is a French architect known for his postmodern and classical-inspired urban projects, including major public buildings in Paris.
-
B.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
C.
Éric Weill
Éric Weill was a French philosopher known for his work on rationality, history, and political thought in the 20th century.
-
D.
Luc Jobin
Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
-
E.
Serge D’Elia
Serge D’Elia is an entrepreneur best known as a founder of the iconic skate and streetwear shoe brand Vans.
- 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: Joël Brenner Triple: [Brenner, hasNotableBearer, Joël Brenner]
Generated description
Joël Brenner is an American lawyer and former U.S. national counterintelligence executive known for his work on intelligence, cybersecurity, and privacy issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joël Brenner Target entity description: Joël Brenner is an American lawyer and former U.S. national counterintelligence executive known for his work on intelligence, cybersecurity, and privacy issues.
-
A.
Marc Breitman
Marc Breitman is a French architect known for his postmodern and classical-inspired urban projects, including major public buildings in Paris.
-
B.
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
C.
Éric Weill
Éric Weill was a French philosopher known for his work on rationality, history, and political thought in the 20th century.
-
D.
Luc Jobin
Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
-
E.
Serge D’Elia
Serge D’Elia is an entrepreneur best known as a founder of the iconic skate and streetwear shoe brand Vans.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969842848190a030db797c851fed |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe983820f88190843361b0ac391d38 |
completed | May 9, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe98b18ab48190b2a47418904e6643 |
completed | May 9, 2026, 2:15 a.m. |
Created at: April 10, 2026, 2:53 a.m.