Triple
T22838319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Schepisi |
E566006
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Plenty |
—
|
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: Plenty | Statement: [Fred Schepisi, notableWork, Plenty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plenty Context triple: [Fred Schepisi, notableWork, Plenty]
-
A.
Plenty
Plenty is the surname of the fictional character B.O. Plenty from the "Dick Tracy" comic strip.
-
B.
Plenty
chosen
"Plenty" is a 1985 British drama film directed by Fred Schepisi, adapted from David Hare’s play about a former World War II resistance courier struggling to find meaning in postwar England.
-
C.
Plenty
Plenty is an indoor vertical farming company that uses advanced technology to grow produce more efficiently and sustainably.
-
D.
The Soup
The Soup was a satirical television series on E! that humorously recapped and mocked clips from various reality shows, talk shows, and other pop culture programming.
-
E.
The Eat Up
The Eat Up is the debut EP by English actor and rapper Ed Skrein, showcasing his early work as a hip-hop artist.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.