Triple
T5320325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith family (Meet Me in St. Louis) |
E121656
|
entity |
| Predicate | hasFamilyMember |
P7844
|
FINISHED |
| Object |
Lon Smith Jr.
Lon Smith Jr. is the eldest son in the Smith family from the classic 1944 musical film "Meet Me in St. Louis."
|
E511601
|
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: Lon Smith Jr. | Statement: [Smith family (Meet Me in St. Louis), hasFamilyMember, Lon Smith Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lon Smith Jr. Context triple: [Smith family (Meet Me in St. Louis), hasFamilyMember, Lon Smith Jr.]
-
A.
John G. Smith
John G. Smith is a music producer best known for his work on the project or artist known as King of Stage.
-
B.
Bud S. Smith
Bud S. Smith is an American film editor best known for his work on influential films such as "The Exorcist" and "Sorcerer."
-
C.
Lyndon Byers
Lyndon Byers is a former Canadian professional ice hockey right winger best known for his tough, physical play with the Boston Bruins in the NHL.
-
D.
Charles H. Smith
Charles H. Smith was an engineer best known for his role in designing and developing Seattle’s iconic Space Needle.
-
E.
Lou Smith
Lou Smith is best known as the wife of legendary American disc jockey and radio personality Wolfman Jack.
- 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: Lon Smith Jr. Triple: [Smith family (Meet Me in St. Louis), hasFamilyMember, Lon Smith Jr.]
Generated description
Lon Smith Jr. is the eldest son in the Smith family from the classic 1944 musical film "Meet Me in St. Louis."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lon Smith Jr. Target entity description: Lon Smith Jr. is the eldest son in the Smith family from the classic 1944 musical film "Meet Me in St. Louis."
-
A.
John G. Smith
John G. Smith is a music producer best known for his work on the project or artist known as King of Stage.
-
B.
Bud S. Smith
Bud S. Smith is an American film editor best known for his work on influential films such as "The Exorcist" and "Sorcerer."
-
C.
Lyndon Byers
Lyndon Byers is a former Canadian professional ice hockey right winger best known for his tough, physical play with the Boston Bruins in the NHL.
-
D.
Charles H. Smith
Charles H. Smith was an engineer best known for his role in designing and developing Seattle’s iconic Space Needle.
-
E.
Lou Smith
Lou Smith is best known as the wife of legendary American disc jockey and radio personality Wolfman Jack.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8574c4b48190a0513ce59eedb564 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18a117d48190a7fb45be0b002f4e |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf197733b48190910bdd60fbd94fff |
completed | March 21, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf19e1b064819091851e975f83e781 |
completed | March 21, 2026, 10:21 p.m. |
Created at: March 20, 2026, 1:59 p.m.