Triple
T4613080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone Biles |
E100803
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Laurent Landi
Laurent Landi is an elite gymnastics coach best known for coaching Olympic champion Simone Biles.
|
E461299
|
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: Laurent Landi | Statement: [Simone Biles, headCoach, Laurent Landi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurent Landi Context triple: [Simone Biles, headCoach, Laurent Landi]
-
A.
Laurent Lomet
Laurent Lomet was a mountaineer known for participating in the first recorded ascent of Monte Perdido in the Pyrenees.
-
B.
Laurent Durand
Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
-
C.
Jean-Philippe Lauer
Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
-
D.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
E.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
- 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: Laurent Landi Triple: [Simone Biles, headCoach, Laurent Landi]
Generated description
Laurent Landi is an elite gymnastics coach best known for coaching Olympic champion Simone Biles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurent Landi Target entity description: Laurent Landi is an elite gymnastics coach best known for coaching Olympic champion Simone Biles.
-
A.
Laurent Lomet
Laurent Lomet was a mountaineer known for participating in the first recorded ascent of Monte Perdido in the Pyrenees.
-
B.
Laurent Durand
Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
-
C.
Jean-Philippe Lauer
Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
-
D.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
E.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c11f5481909f61e23503711cf5 |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be035629248190a8723b5f1f9e57bc |
completed | March 21, 2026, 2:32 a.m. |
| NEDg | Description generation | batch_69be04ad843c8190b3c8dfa4a46e727b |
completed | March 21, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be0529868c8190b20e8966315b263a |
completed | March 21, 2026, 2:40 a.m. |
Created at: March 20, 2026, 1:12 p.m.