Triple
T1017474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet Me in St. Louis |
E21963
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tootie Smith
Tootie Smith is a mischievous and imaginative young girl who is one of the central members of the Smith family in the classic musical film "Meet Me in St. Louis."
|
E133955
|
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: Tootie Smith | Statement: [Meet Me in St. Louis, mainCharacter, Tootie Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tootie Smith Context triple: [Meet Me in St. Louis, mainCharacter, Tootie Smith]
-
A.
Cheryl Howard
Cheryl Howard is an American writer and actress best known as the wife of filmmaker Ron Howard and the mother of actress Bryce Dallas Howard.
-
B.
Teresa Weatherspoon
Teresa Weatherspoon is a Hall of Fame American basketball player and coach best known as an original WNBA star and defensive standout at point guard.
-
C.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
D.
Vonetta Flowers
Vonetta Flowers is an American bobsledder who became the first Black athlete from any country to win a gold medal at the Winter Olympics.
-
E.
Ed Hochuli
Ed Hochuli is a former National Football League official known for his long tenure, muscular physique, and detailed on-field explanations of penalties.
- 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: Tootie Smith Triple: [Meet Me in St. Louis, mainCharacter, Tootie Smith]
Generated description
Tootie Smith is a mischievous and imaginative young girl who is one of the central members of the Smith family in the classic musical film "Meet Me in St. Louis."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tootie Smith Target entity description: Tootie Smith is a mischievous and imaginative young girl who is one of the central members of the Smith family in the classic musical film "Meet Me in St. Louis."
-
A.
Cheryl Howard
Cheryl Howard is an American writer and actress best known as the wife of filmmaker Ron Howard and the mother of actress Bryce Dallas Howard.
-
B.
Teresa Weatherspoon
Teresa Weatherspoon is a Hall of Fame American basketball player and coach best known as an original WNBA star and defensive standout at point guard.
-
C.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
D.
Vonetta Flowers
Vonetta Flowers is an American bobsledder who became the first Black athlete from any country to win a gold medal at the Winter Olympics.
-
E.
Ed Hochuli
Ed Hochuli is a former National Football League official known for his long tenure, muscular physique, and detailed on-field explanations of penalties.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c4d488819081d8214ba0a22fe5 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac661d6d4c8190a72cd52ec2a27e12 |
completed | March 7, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69ac66c626e081909ffb74b5f05e5f18 |
completed | March 7, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac673715388190862a8888ff60bd98 |
completed | March 7, 2026, 5:58 p.m. |
Created at: March 1, 2026, 7:41 p.m.