Triple
T13686318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre-Louis Lions |
E328137
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lions
Lions is a common French surname borne by several notable individuals, including the Fields Medal–winning mathematician Pierre-Louis Lions.
|
E1059455
|
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: Lions | Statement: [Pierre-Louis Lions, familyName, Lions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lions Context triple: [Pierre-Louis Lions, familyName, Lions]
-
A.
Lions
Lions is the commonly used short name for the Brisbane Lions, a professional Australian rules football club based in Brisbane that competes in the Australian Football League (AFL).
-
B.
Lions
The Lions are the athletic teams representing Columbia University, most notably its men's basketball program competing in NCAA Division I.
-
C.
Lions
The Lions are the athletic teams representing Lincoln University in Pennsylvania in intercollegiate sports.
-
D.
Lions
The Lions are the athletic teams representing the University of North Alabama in collegiate sports.
-
E.
Lions
The Lions are a professional American football team based in Detroit, Michigan, competing in the National Football League (NFL).
- 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: Lions Triple: [Pierre-Louis Lions, familyName, Lions]
Generated description
Lions is a common French surname borne by several notable individuals, including the Fields Medal–winning mathematician Pierre-Louis Lions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lions Target entity description: Lions is a common French surname borne by several notable individuals, including the Fields Medal–winning mathematician Pierre-Louis Lions.
-
A.
Lions
Lions is a French surname most notably borne by the influential mathematician and control theorist Jacques-Louis Lions.
-
B.
Lions
Lions is the commonly used short name for the Brisbane Lions, a professional Australian rules football club based in Brisbane that competes in the Australian Football League (AFL).
-
C.
Lions
The Lions are a South African professional rugby union team based in Johannesburg that competes in major domestic and international competitions.
-
D.
Lions
Lions are large, social predatory cats native mainly to Africa, known for their muscular build, manes on males, and role as iconic symbols of strength and courage.
-
E.
Lions
The Lions are a professional American football team based in Detroit, Michigan, competing in the National Football League (NFL).
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8416d808190bd9cb77e0dd0d4be |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a994cd688190a077a4854c5c71c9 |
completed | May 3, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aa2f696081908f48d44bf7271abc |
completed | May 3, 2026, 8:03 p.m. |
Created at: April 9, 2026, 9:53 p.m.