Triple
T1053854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue André Pascal |
E22757
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
André Pascal
André Pascal was a notable French figure, likely a politician or public servant, after whom Rue André Pascal in Paris is named.
|
E155988
|
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: André Pascal | Statement: [Rue André Pascal, namedAfter, André Pascal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Pascal Context triple: [Rue André Pascal, namedAfter, André Pascal]
-
A.
André
André is a given name of French origin commonly used in various languages as a form of "Andrew."
-
B.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
C.
Stephen Sauvestre
Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
-
D.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
E.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
- 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: André Pascal Triple: [Rue André Pascal, namedAfter, André Pascal]
Generated description
André Pascal was a notable French figure, likely a politician or public servant, after whom Rue André Pascal in Paris is named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: André Pascal Target entity description: André Pascal was a notable French figure, likely a politician or public servant, after whom Rue André Pascal in Paris is named.
-
A.
André
André is a given name of French origin commonly used in various languages as a form of "Andrew."
-
B.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
C.
Stephen Sauvestre
Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
-
D.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
E.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce55b5748190b54b8205a735ae89 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf47541481909f2032cdf8e4272b |
completed | March 8, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accff8af488190a7580cf7c02ceed9 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:42 p.m.