Triple
T14158529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chloë Sevigny |
E350873
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gummo |
E868569
|
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: Gummo | Statement: [Chloë Sevigny, notableWork, Gummo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gummo Context triple: [Chloë Sevigny, notableWork, Gummo]
-
A.
Gummo
Gummo is a breakout 2017 single by American rapper Tekashi 6ix9ine known for its aggressive style and viral success.
-
B.
Gummo
chosen
Gummo is a 1997 experimental drama film directed by Harmony Korine, known for its disturbing, fragmented portrayal of life in a tornado-ravaged Ohio town.
-
C.
Freaks
"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.
-
D.
Mondo Cane
Mondo Cane is a musical project led by Mike Patton that features orchestral arrangements of 1950s and 1960s Italian pop songs.
-
E.
A Bucket of Blood
A Bucket of Blood is a 1959 low-budget black comedy horror film that satirizes Beatnik culture and the art world, directed by cult filmmaker Roger Corman.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ef4d80819098d210503f5d22e9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.