Triple
T16178159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Buck |
E392618
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Buck
Buck is the surname of Linda Buck, an American biologist and Nobel Prize laureate recognized for her pioneering work on the olfactory system.
|
E1199863
|
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: Buck | Statement: [Linda Buck, familyName, Buck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buck Context triple: [Linda Buck, familyName, Buck]
-
A.
Buck
Buck is the nickname of Buck Weaver, an American third baseman best known as one of the Chicago White Sox players implicated in the 1919 Black Sox Scandal.
-
B.
Buck
Buck is a one-eyed, adventure-loving weasel who serves as a fearless and eccentric guide in the Ice Age animated film series.
-
C.
Buck
Buck was the nickname of Earl Van Dorn, a Confederate major general in the American Civil War known for his aggressive cavalry operations.
-
D.
Buck
Buck is the tough, resourceful wagon master played by Sidney Poitier in the 1972 Western film "Buck and the Preacher."
-
E.
Buck
Buck is the stage name of Buck Owens, a pioneering American country music singer, guitarist, and bandleader closely associated with the Bakersfield sound.
- 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: Buck Triple: [Linda Buck, familyName, Buck]
Generated description
Buck is the surname of Linda Buck, an American biologist and Nobel Prize laureate recognized for her pioneering work on the olfactory system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buck Target entity description: Buck is the surname of Linda Buck, an American biologist and Nobel Prize laureate recognized for her pioneering work on the olfactory system.
-
A.
Buck
Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
-
B.
Buck
Buck is the first name of Buck Henry, the American screenwriter, actor, and director known for co-writing "The Graduate" and co-creating the TV series "Get Smart."
-
C.
Buck
Buck is the stage name of Buck Owens, a pioneering American country music singer, guitarist, and bandleader closely associated with the Bakersfield sound.
-
D.
Buck
Buck is the alias of Edward Buckland, a person likely known by this nickname in his professional or social context.
-
E.
Buck
Buck is the nickname of Buck Williams, a former American professional basketball player and three-time NBA All-Star known for his rebounding and defensive prowess.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ab3108190a84fc2dfe61d5044 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffefe4dc08190a6cc43a448ae6554 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a0000a8a74c8190925c4140cf4a8520 |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0004ceda8c8190a358f58f76116a7f |
completed | May 10, 2026, 4:08 a.m. |
Created at: April 10, 2026, 5:02 a.m.