Triple
T22001818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Frogley |
E543343
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Big Year |
—
|
NE NERFINISHED |
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: The Big Year | Statement: [Louise Frogley, workedOn, The Big Year]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Year Context triple: [Louise Frogley, workedOn, The Big Year]
-
A.
The Big Year
chosen
The Big Year is a 2011 comedy film about competitive birdwatching, starring Steve Martin, Jack Black, and Owen Wilson.
-
B.
All About Birds
All About Birds is an online birding resource that provides identification guides, photos, sounds, and expert information on bird species, created and maintained by the Cornell Lab of Ornithology.
-
C.
Chasing Birds
"Chasing Birds" is a melodic, introspective rock song by Foo Fighters from their album "Medicine at Midnight."
-
D.
The Big Green Tent
The Big Green Tent is a novel by Russian author Lyudmila Ulitskaya that portrays the lives and moral struggles of Soviet intellectuals and dissidents from the post-Stalin era onward.
-
E.
The Thing with Feathers
The Thing with Feathers is a stage play that explores complex moral and emotional dilemmas, known for its intense character-driven drama and contemporary themes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276ae4e0819097bf1b978451f776 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.