Triple
T13109534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leap Year |
E310933
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Anthony Boys |
E857417
|
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: Anthony Boys | Statement: [Leap Year, editedBy, Anthony Boys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Boys Context triple: [Leap Year, editedBy, Anthony Boys]
-
A.
Anthony Boys
chosen
Anthony Boys is a film editor best known for his work on the political satire film "In the Loop."
-
B.
Anthony
Anthony is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
C.
Nicholas Butt
Nicholas Butt is a retired English footballer best known for his midfield role in Manchester United's successful 1990s and early 2000s teams and later work as a coach and academy director.
-
D.
Julian Dennison
Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
-
E.
Bronson
Bronson is a 2008 British biographical crime film in which Tom Hardy portrays the notoriously violent prisoner Charles Bronson.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.