Triple
T1197667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 84th Academy Awards |
E25704
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Beginners |
E136599
|
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: Beginners | Statement: [84th Academy Awards, notableWinner, Beginners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beginners Context triple: [84th Academy Awards, notableWinner, Beginners]
-
A.
Beginners
chosen
Beginners is a 2010 romantic comedy-drama film written and directed by Mike Mills, known for its heartfelt exploration of love, family, and late-in-life coming out.
-
B.
BASIC
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
-
C.
Begnins
Begnins is a small municipality in the canton of Vaud in western Switzerland, situated in the La Côte wine-growing region between Lake Geneva and the Jura Mountains.
-
D.
Entered Apprentice
Entered Apprentice is the first and introductory degree of Freemasonry, representing a candidate’s initial initiation into the Masonic fraternity.
-
E.
Basic Books
Basic Books is an American publishing company known for releasing influential works in the fields of social sciences, humanities, and public affairs.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9a305c819091513394f1b67784 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f383a1c8190932e4b200fec02b5 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:46 p.m.