Triple
T15486051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoknapatawpha saga |
E377049
|
entity |
| Predicate | recurringLocation |
P26564
|
FINISHED |
| Object |
Jefferson
Jefferson is the fictional Mississippi town that serves as the central setting for many of William Faulkner’s Yoknapatawpha County stories and novels.
|
E375574
|
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: Jefferson | Statement: [Yoknapatawpha saga, recurringLocation, Jefferson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jefferson Context triple: [Yoknapatawpha saga, recurringLocation, Jefferson]
-
A.
Jefferson
Jefferson is the middle name of William Jefferson "Bill" Clinton, the 42nd president of the United States.
-
B.
Jefferson
Jefferson is a domestic cat known by the given name "Jefferson."
-
C.
Jefferson
Jefferson is a city in Iowa, United States, known as the birthplace of pioneering American pollster George Gallup.
-
D.
Jefferson
Jefferson is a prominent American surname most famously associated with Thomas Jefferson, the third president of the United States and principal author of the Declaration of Independence.
-
E.
Jefferson
Jefferson is a small rural community located within Cardston County in southern Alberta, Canada.
- 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: Jefferson Triple: [Yoknapatawpha saga, recurringLocation, Jefferson]
Generated description
Jefferson is the fictional Mississippi town that serves as the central setting for many of William Faulkner’s Yoknapatawpha County stories and novels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jefferson Target entity description: Jefferson is the fictional Mississippi town that serves as the central setting for many of William Faulkner’s Yoknapatawpha County stories and novels.
-
A.
Jefferson
chosen
Jefferson is the fictional Mississippi town that serves as the central setting in many of William Faulkner’s Yoknapatawpha County stories and novels.
-
B.
Jefferson
Jefferson is a small city in northeastern Georgia that serves as the county seat of Jackson County and lies within the state's historic gold-mining region.
-
C.
Jefferson
Jefferson is a city in Iowa, United States, known as the birthplace of pioneering American pollster George Gallup.
-
D.
Jefferson
Jefferson is a small rural community located within Cardston County in southern Alberta, Canada.
-
E.
Jefferson
Jefferson is a prominent American surname most famously associated with Thomas Jefferson, the third president of the United States and principal author of the Declaration of Independence.
- F. None of above.
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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8f71a08190a440ff19dcc65312 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff454ac84c8190b1979e6caca3ee66 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff467e5d6c8190ba3bf6557e683233 |
completed | May 9, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff470912bc8190a42ee312aca55872 |
completed | May 9, 2026, 2:39 p.m. |
Created at: April 10, 2026, 3:46 a.m.