Triple
T11963497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. Hee |
E284730
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Story of Anyburg U.S.A. |
E956975
|
NE FINISHED |
How this triple was built (2 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: The Story of Anyburg U.S.A. | Statement: [T. Hee, workedOn, The Story of Anyburg U.S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Story of Anyburg U.S.A. Context triple: [T. Hee, workedOn, The Story of Anyburg U.S.A.]
-
A.
The Story of Anyburg U.S.A.
chosen
The Story of Anyburg U.S.A. is a 1957 Walt Disney animated short film that uses a small American town and its cars on trial to humorously explore themes of traffic safety and civic responsibility.
-
B.
Two Story Town
"Two Story Town" is a song by the American rock band Crush.
-
C.
The Big City
The Big City is a 1963 Indian Bengali-language drama film directed by Satyajit Ray that portrays a middle-class housewife’s journey to financial independence and self-discovery in Calcutta.
-
D.
“The Town That Grew”
“The Town That Grew” is the civic motto of Conover, a small but rapidly developing city in Catawba County, North Carolina.
-
E.
Stiltsville
Stiltsville is a historic collection of wooden stilt houses built over the shallow waters of Biscayne Bay near Miami, Florida.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471d625c88190baed4ea08853988a |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.