Triple
T11760174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac and Me |
E279633
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Nick McLean |
E916649
|
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: Nick McLean | Statement: [Mac and Me, cinematographyBy, Nick McLean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick McLean Context triple: [Mac and Me, cinematographyBy, Nick McLean]
-
A.
Nick McLean
chosen
Nick McLean is an American cinematographer best known for his work on popular films of the 1980s, including the adventure classic "The Goonies."
-
B.
Mike McAlary
Mike McAlary was a Pulitzer Prize–winning New York City tabloid columnist known for his hard-hitting crime reporting and controversial coverage of police brutality cases in the 1980s and 1990s.
-
C.
Rick McCallum
Rick McCallum is a film and television producer best known for collaborating with George Lucas on the Star Wars prequel trilogy and the Star Wars Special Edition releases.
-
D.
Steve MacLean
Steve MacLean is a Canadian physicist and former astronaut who flew on two Space Shuttle missions and later served as president of the Canadian Space Agency.
-
E.
Mark McPherson
Mark McPherson is the hardboiled detective protagonist in the classic 1944 film noir "Laura," who investigates the apparent murder of the title character and becomes increasingly obsessed with her.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1309f25a88190b0acaf7d9be6ae59 |
completed | April 28, 2026, 10:11 p.m. |
Created at: April 8, 2026, 9:41 p.m.