Triple
T13701549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghetto Klown |
E328529
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Freak |
E733283
|
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: Freak | Statement: [Ghetto Klown, follows, Freak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freak Context triple: [Ghetto Klown, follows, Freak]
-
A.
The Freak
The Freak is the nickname of Tim Lincecum, a former San Francisco Giants pitcher known for his dominant performances, unorthodox delivery, and multiple Cy Young Awards.
-
B.
Freak Street
Freak Street is a historic neighborhood in Kathmandu, Nepal, famed as a 1960s–70s hippie trail hub lined with budget guesthouses, cafes, and shops.
-
C.
Some Freaks
Some Freaks is a 2016 independent coming-of-age drama film that explores body image, identity, and unconventional teenage relationships.
-
D.
Freaks
chosen
"Freaks" is a high-energy electronic dance track by Australian DJ and producer Timmy Trumpet, widely recognized for its catchy horn melody and popularity in clubs and festivals.
-
E.
Freak Power
Freak Power was a 1990s British band that blended acid jazz, funk, and soul, best known for their hit single "Turn On, Tune In, Cop Out."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.