Triple
T6697900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Snead |
E152797
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Samuel Lester
Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
|
E610653
|
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: Samuel Lester | Statement: [Les Snead, givenName, Samuel Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Lester Context triple: [Les Snead, givenName, Samuel Lester]
-
A.
Samuel Spencer
Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
-
B.
Samuel Murray
Samuel Murray was an American sculptor known for his public monuments and portrait statues in the late 19th and early 20th centuries.
-
C.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
D.
Samuel Weaver
Samuel Weaver was the teenage son of Randy Weaver who was fatally shot by U.S. marshals during the 1992 Ruby Ridge standoff in Idaho.
-
E.
Samuel Black
Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
- 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: Samuel Lester Triple: [Les Snead, givenName, Samuel Lester]
Generated description
Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Lester Target entity description: Samuel Lester is the full given name of Les Snead, the American football executive best known as the general manager of the Los Angeles Rams.
-
A.
Samuel Spencer
Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
-
B.
Samuel Murray
Samuel Murray was an American sculptor known for his public monuments and portrait statues in the late 19th and early 20th centuries.
-
C.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
D.
Samuel Weaver
Samuel Weaver was the teenage son of Randy Weaver who was fatally shot by U.S. marshals during the 1992 Ruby Ridge standoff in Idaho.
-
E.
Samuel Black
Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a4da9881908d79c410b4cff868 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bd965881908a128d97f1c94dd0 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f86fb37c8190ba0ed52d998643d6 |
completed | March 27, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f8d6c9d481908d988984e0aed6bc |
completed | March 27, 2026, 9:38 p.m. |
Created at: March 27, 2026, 2:05 p.m.