Triple
T16053339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Home Alabama |
E389409
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object |
Douglas J. Eboch
Douglas J. Eboch is an American screenwriter best known for creating the original story that became the hit romantic comedy film "Sweet Home Alabama."
|
E1191556
|
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: Douglas J. Eboch | Statement: [Sweet Home Alabama, storyBy, Douglas J. Eboch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douglas J. Eboch Context triple: [Sweet Home Alabama, storyBy, Douglas J. Eboch]
-
A.
Mark J. Feist
Mark J. Feist is a music producer and songwriter known for his work with prominent pop and R&B artists.
-
B.
Ronald Schwab
Ronald Schwab is an individual notable enough to be recognized as a prominent bearer of the surname Schwab.
-
C.
M. Scott Smith
M. Scott Smith is a film editor best known for his work on the crime thriller "To Live and Die in L.A."
-
D.
Eric Van Lustbader
Eric Van Lustbader is an American novelist best known for his thrillers and for continuing Robert Ludlum’s Jason Bourne series.
-
E.
J. Anthony Brown
J. Anthony Brown is an American comedian, actor, and radio personality known for his stand-up work and appearances in film and television.
- 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: Douglas J. Eboch Triple: [Sweet Home Alabama, storyBy, Douglas J. Eboch]
Generated description
Douglas J. Eboch is an American screenwriter best known for creating the original story that became the hit romantic comedy film "Sweet Home Alabama."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Douglas J. Eboch Target entity description: Douglas J. Eboch is an American screenwriter best known for creating the original story that became the hit romantic comedy film "Sweet Home Alabama."
-
A.
Mark J. Feist
Mark J. Feist is a music producer and songwriter known for his work with prominent pop and R&B artists.
-
B.
Ronald Schwab
Ronald Schwab is an individual notable enough to be recognized as a prominent bearer of the surname Schwab.
-
C.
M. Scott Smith
M. Scott Smith is a film editor best known for his work on the crime thriller "To Live and Die in L.A."
-
D.
Eric Van Lustbader
Eric Van Lustbader is an American novelist best known for his thrillers and for continuing Robert Ludlum’s Jason Bourne series.
-
E.
J. Anthony Brown
J. Anthony Brown is an American comedian, actor, and radio personality known for his stand-up work and appearances in film and television.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1836365688190b182f29bbb66127e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe2d87c8190ba7f16feb018e70c |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffdcfe202481909913e9e44ffbf66f |
completed | May 10, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd8610c081908305a1c2298618c1 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 4:56 a.m.