Triple
T20938937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolas Kim Coppola |
E515662
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pig |
—
|
NE NERFINISHED |
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: Pig | Statement: [Nicolas Kim Coppola, notableWork, Pig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pig Context triple: [Nicolas Kim Coppola, notableWork, Pig]
-
A.
Pig
chosen
Pig is a 2021 neo-noir drama film starring Nicolas Cage as a reclusive truffle hunter searching for his stolen foraging pig.
-
B.
Pig
"Pig" is a song by the Dave Matthews Band from their 1998 album *Before These Crowded Streets*, known for its intricate arrangement and reflective, life-affirming lyrics.
-
C.
PIG
PIG is the commonly used acronym for Pine Island Glacier, one of Antarctica’s largest and fastest-changing glaciers, significant for its impact on global sea-level rise.
-
D.
Pigs
Pigs is a 1973 American horror film, also known as Daddy’s Deadly Darling, about a disturbed young woman and a pig farmer who feed human corpses to his pigs.
-
E.
The Pig
The Pig is a colloquial nickname for the U.S. military’s M60 general-purpose machine gun, known for its heavy weight, high rate of fire, and extensive use during the Vietnam War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.