Triple
T12303485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Nesbitt |
E293291
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Murphy’s Law |
E865403
|
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: Murphy’s Law | Statement: [James Nesbitt, notableWork, Murphy’s Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murphy’s Law Context triple: [James Nesbitt, notableWork, Murphy’s Law]
-
A.
Murphy's Law
chosen
Murphy's Law is a British television crime drama series starring Mark Womack as a maverick undercover detective.
-
B.
Murphy's Law
"Murphy's Law" is the debut studio album by American rapper Murphy Lee, showcasing his St. Louis hip hop style and featuring collaborations with prominent artists from the St. Lunatics and beyond.
-
C.
Murphy’s law
Murphy’s law is the adage that anything that can go wrong will go wrong, often cited to express the inevitability of errors or misfortune.
-
D.
Aitken’s Law
Aitken’s Law is a phonological rule in Scots and Scottish English that governs when vowels are pronounced long or short depending on their phonetic and morphological environment.
-
E.
Cunningham's Law
Cunningham's Law is an internet adage stating that the best way to get the right answer online is not to ask a question, but to post the wrong answer.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edca2648190987eef19599e340c |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7f8fd08190bdef3bb761d53f97 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.