Triple
T19199247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | String Along |
E470058
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
South Wind
South Wind is a song featured on the album "String Along."
|
E1363159
|
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: South Wind | Statement: [String Along, hasPart, South Wind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Wind Context triple: [String Along, hasPart, South Wind]
-
A.
Gulf Wind
Gulf Wind was a named passenger train that provided long-distance service in the southeastern United States for the Louisville and Nashville Railroad.
-
B.
A Gentle Wind
"A Gentle Wind" is a musical composition by Japanese composer Hikari Ōe, known for its delicate, lyrical style and its role in bringing wider attention to his work.
-
C.
Restless Wind
Restless Wind is a solo piano album by American pianist and composer George Winston, showcasing his contemplative, melodic style through a mix of originals and interpretations.
-
D.
Warm Winds
Warm Winds is a musical group known for its smooth, melodic sound and evocative, atmospheric compositions.
-
E.
The Winds
"The Winds" is a short story by Eudora Welty, included in her collection *The Wide Net and Other Stories*, that reflects her characteristic blend of Southern setting, rich atmosphere, and psychological insight.
- 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: South Wind Triple: [String Along, hasPart, South Wind]
Generated description
South Wind is a song featured on the album "String Along."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Wind Target entity description: South Wind is a song featured on the album "String Along."
-
A.
Gulf Wind
Gulf Wind was a named passenger train that provided long-distance service in the southeastern United States for the Louisville and Nashville Railroad.
-
B.
A Gentle Wind
"A Gentle Wind" is a musical composition by Japanese composer Hikari Ōe, known for its delicate, lyrical style and its role in bringing wider attention to his work.
-
C.
Restless Wind
Restless Wind is a solo piano album by American pianist and composer George Winston, showcasing his contemplative, melodic style through a mix of originals and interpretations.
-
D.
Warm Winds
Warm Winds is a musical group known for its smooth, melodic sound and evocative, atmospheric compositions.
-
E.
The Winds
"The Winds" is a short story by Eudora Welty, included in her collection *The Wide Net and Other Stories*, that reflects her characteristic blend of Southern setting, rich atmosphere, and psychological insight.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9967ac081909106aa5ea447e94d |
completed | April 20, 2026, 10:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8c496c08190bc20b67d1b0943de |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f936e0b08190b614c393174ea885 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fa52fa5081908e688e253c1f8f6d |
completed | May 15, 2026, 10:49 a.m. |
Created at: April 10, 2026, 12:07 p.m.