Triple
T8557623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig McKay |
E202612
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object | Cop Land |
E61459
|
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: Cop Land | Statement: [Craig McKay, edited, Cop Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cop Land Context triple: [Craig McKay, edited, Cop Land]
-
A.
Cop Land
chosen
Cop Land is a 1997 crime drama film in which Sylvester Stallone plays a small-town sheriff entangled in police corruption surrounding New York City officers.
-
B.
Free Land
Free Land is a 1938 novel by Rose Wilder Lane that vividly portrays the hardships and resilience of homesteading settlers on the American Great Plains.
-
C.
Stakeout
"Stakeout" is a 1987 American buddy-cop comedy thriller film starring Richard Dreyfuss and Emilio Estevez as detectives assigned to surveil an escaped convict’s ex-girlfriend.
-
D.
Crime Pays
Crime Pays is a 2009 studio album by Harlem rapper Cam'ron, known for its gritty street narratives and return-to-form sound.
-
E.
The Joe
The Joe is a famous indoor arena in Detroit, Michigan, best known as the longtime home of the NHL’s Detroit Red Wings.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe946d1408190adc7dfb7b2173f9d |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb84a6988190ba6852f72c8918ca |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:20 p.m.