Triple
T12227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood |
E247
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Tinseltown |
E247
|
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: Tinseltown | Statement: [Hollywood, hasNickname, Tinseltown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinseltown Context triple: [Hollywood, hasNickname, Tinseltown]
-
A.
Sunset Boulevard
Sunset Boulevard is a famous Los Angeles thoroughfare known for its historic connection to the film industry, nightlife, and iconic cultural landmarks.
-
B.
Hollywood
chosen
Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
-
C.
Painted Ladies
Painted Ladies are a famous row of colorful Victorian and Edwardian houses in San Francisco, often photographed with the city skyline in the background.
-
D.
Chocolate City
Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
-
E.
Chinatown
Chinatown is a historic San Francisco neighborhood renowned as one of the oldest and largest Chinese communities outside Asia, famous for its vibrant culture, shops, and cuisine.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a23ff415ec819082ba80ed3859b71e |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2552ac50c819085e4e45c00cd7956 |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.