Triple
T17904225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liane Moriarty |
E447659
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Moriarty | Statement: [Liane Moriarty, familyName, Moriarty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moriarty Context triple: [Liane Moriarty, familyName, Moriarty]
-
A.
Moriarty
Moriarty is a small city in central New Mexico, known as a gateway community along historic U.S. Route 66.
-
B.
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."
-
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.
Don Moriarty
Don Moriarty is a screenwriter best known for co-writing the 1981 swashbuckling comedy film "Zorro, The Gay Blade."
-
E.
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.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9a9cfc8190879fc36dfdeb562b |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b2bc9bc819096bf2d2f2a94910b |
completed | May 12, 2026, 12:20 p.m. |
Created at: April 10, 2026, 10:19 a.m.