Triple
T20286806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Sugarman |
E509901
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Mad Cows |
—
|
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: Mad Cows | Statement: [Sara Sugarman, directed, Mad Cows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mad Cows Context triple: [Sara Sugarman, directed, Mad Cows]
-
A.
Mad Cows
chosen
Mad Cows is a 1999 British comedy film about a chaotic series of misadventures involving a young mother entangled in crime and bureaucracy.
-
B.
Milk This Cow
"Milk This Cow" is a song by the punk rock band The Pillage.
-
C.
Red Cow
Red Cow is a major Luas light rail stop and park-and-ride interchange on the outskirts of Dublin, Ireland.
-
D.
Mad Cowgirl
Mad Cowgirl is a 2006 surreal, low-budget independent horror-thriller film known for its bizarre narrative and cult appeal.
-
E.
Concrete Cows
Concrete Cows is a famous outdoor sculpture in Milton Keynes consisting of life-sized cow figures made from concrete and fiberglass, often seen as an iconic symbol of the town.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676931fe08190b278d829a745701f |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:06 a.m.