Triple
T12236339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America |
E291601
|
entity |
| Predicate | crewMember |
P2094
|
FINISHED |
| Object |
Ronald Evans
Ronald Evans was a NASA astronaut and command module pilot best known for his role on the Apollo 17 lunar mission, during which he conducted one of the deepest spacewalks in history.
|
E979247
|
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: Ronald Evans | Statement: [America, crewMember, Ronald Evans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald Evans Context triple: [America, crewMember, Ronald Evans]
-
A.
Ronald Lawrence
Ronald Lawrence is an author known for his work on the book "Hypnotize."
-
B.
Ronald Lawrence
Ronald Lawrence is a music producer best known for his work on the Notorious B.I.G.’s hit single "Hypnotize."
-
C.
Ronald Ferguson
Ronald Ferguson was a British polo manager and former officer best known as the father of Sarah, Duchess of York.
-
D.
Ronald Brooks
Ronald Brooks is a songwriter best known for his work on the hit track "I Get Around."
-
E.
Ronald Sanders
Ronald Sanders is a Canadian film editor best known for his long-time collaboration with director David Cronenberg on numerous acclaimed films.
- 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: Ronald Evans Triple: [America, crewMember, Ronald Evans]
Generated description
Ronald Evans was a NASA astronaut and command module pilot best known for his role on the Apollo 17 lunar mission, during which he conducted one of the deepest spacewalks in history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronald Evans Target entity description: Ronald Evans was a NASA astronaut and command module pilot best known for his role on the Apollo 17 lunar mission, during which he conducted one of the deepest spacewalks in history.
-
A.
Ronald Lawrence
Ronald Lawrence is an author known for his work on the book "Hypnotize."
-
B.
Ronald Lawrence
Ronald Lawrence is a music producer best known for his work on the Notorious B.I.G.’s hit single "Hypnotize."
-
C.
Ronald Ferguson
Ronald Ferguson was a British polo manager and former officer best known as the father of Sarah, Duchess of York.
-
D.
Ronald Brooks
Ronald Brooks is a songwriter best known for his work on the hit track "I Get Around."
-
E.
Ronald Sanders
Ronald Sanders is a Canadian film editor best known for his long-time collaboration with director David Cronenberg on numerous acclaimed films.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb2892c81909a97b3ad6ec2c21b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9057408190a25f44d773b2b178 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62ef1cc4481909bc9fc768a9ef1f2 |
completed | May 2, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62f808b1481908f529decdbfc5be6 |
completed | May 2, 2026, 5:08 p.m. |
Created at: April 8, 2026, 9:51 p.m.