Triple
T15670706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg LeMond |
E377303
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
LeMond
LeMond is the surname of Greg LeMond, the pioneering American professional cyclist and three-time Tour de France winner.
|
E1170136
|
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: LeMond | Statement: [Greg LeMond, familyName, LeMond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LeMond Context triple: [Greg LeMond, familyName, LeMond]
-
A.
Andy Hampsten
Andy Hampsten is an American former professional road cyclist best known for winning the 1988 Giro d'Italia and excelling as a climber in Grand Tours.
-
B.
Robin Le Poidevin
Robin Le Poidevin is a British philosopher known for his work in metaphysics, philosophy of religion, and the philosophy of time.
-
C.
Bill Armstrong
Bill Armstrong is an NHL executive best known as the general manager responsible for overseeing hockey operations and roster decisions for the Arizona Coyotes.
-
D.
Billy Armstrong
Billy Armstrong was a British-born silent film comedian and actor known for his work in early 20th-century cinema, including appearances in comedy shorts.
-
E.
Scott Armstrong
Scott Armstrong is an American journalist and author known for his investigative reporting and coauthoring influential books on U.S. government and the Supreme Court.
- 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: LeMond Triple: [Greg LeMond, familyName, LeMond]
Generated description
LeMond is the surname of Greg LeMond, the pioneering American professional cyclist and three-time Tour de France winner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LeMond Target entity description: LeMond is the surname of Greg LeMond, the pioneering American professional cyclist and three-time Tour de France winner.
-
A.
Andy Hampsten
Andy Hampsten is an American former professional road cyclist best known for winning the 1988 Giro d'Italia and excelling as a climber in Grand Tours.
-
B.
Robin Le Poidevin
Robin Le Poidevin is a British philosopher known for his work in metaphysics, philosophy of religion, and the philosophy of time.
-
C.
Bill Armstrong
Bill Armstrong is an NHL executive best known as the general manager responsible for overseeing hockey operations and roster decisions for the Arizona Coyotes.
-
D.
Billy Armstrong
Billy Armstrong was a British-born silent film comedian and actor known for his work in early 20th-century cinema, including appearances in comedy shorts.
-
E.
Scott Armstrong
Scott Armstrong is an American journalist and author known for his investigative reporting and coauthoring influential books on U.S. government and the Supreme Court.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67a431208190b7e0d1eefd55504a |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff6959c200819098d11682b3078766 |
completed | May 9, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69b4b9dc8190920c399b737cf2a3 |
completed | May 9, 2026, 5:07 p.m. |
Created at: April 10, 2026, 4:16 a.m.