Triple
T36087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles |
E715
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | City of Angels |
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: City of Angels | Statement: [Los Angeles, hasNickname, City of Angels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Angels Context triple: [Los Angeles, hasNickname, City of Angels]
-
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.
I Love You, California
"I Love You, California" is a patriotic song celebrating the landscapes and spirit of California, officially adopted as the state's song.
-
C.
The Bodyguard
The Bodyguard is a 1992 romantic thriller film starring Kevin Costner and Whitney Houston, featuring Houston’s iconic performance and hit soundtrack including “I Will Always Love You.”
-
D.
Once Again
Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
-
E.
Hollywood
chosen
Hollywood is a famous Los Angeles neighborhood internationally recognized as the historic center of the American film and entertainment industry.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24aca5ed481908d1aa2ca656f25ea |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255322d048190b3a45c6c6a80230c |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.