Triple
T9112419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Moriarty |
E218633
|
entity |
| Predicate | notableAlias |
P39
|
FINISHED |
| Object | Professor Moriarty |
E218633
|
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: Professor Moriarty | Statement: [Jim Moriarty, notableAlias, Professor Moriarty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Professor Moriarty Context triple: [Jim Moriarty, notableAlias, Professor Moriarty]
-
A.
P.H. Moriarty
P.H. Moriarty is a British actor best known for his tough-guy roles in films such as "Lock, Stock and Two Smoking Barrels" and "The Long Good Friday."
-
B.
Jim Moriarty
chosen
Jim Moriarty is the brilliant and ruthless criminal mastermind who serves as Sherlock Holmes’s primary nemesis in the Sherlock Holmes stories and their adaptations.
-
C.
Michael Moriarty
Michael Moriarty is an American-Canadian actor known for his intense character roles in film and television, including his Emmy-winning work on the series "Law & Order."
-
D.
Jerry Sherlock
Jerry Sherlock was a film producer best known for producing the 1990 submarine thriller "The Hunt for Red October."
-
E.
Jake Moriarty
Jake Moriarty is a central character in the romantic comedy-drama film "Murphy's Romance," serving as the ex-husband whose presence complicates the developing relationship between the main protagonists.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8495c448190b9bb3803fb2dda70 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.