Triple
T18985162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynn Shelton |
E464536
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Laggies |
—
|
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: Laggies | Statement: [Lynn Shelton, directed, Laggies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laggies Context triple: [Lynn Shelton, directed, Laggies]
-
A.
Laggies
chosen
Laggies is a 2014 American coming-of-age romantic comedy film directed by Lynn Shelton and starring Keira Knightley, Chloë Grace Moretz, and Sam Rockwell.
-
B.
Lagg
Lagg is a village on the Isle of Arran in Scotland, known for its coastal setting and association with whisky production.
-
C.
The Game Station
The Game Station is a massive orbiting broadcast platform from the Doctor Who universe that hosts deadly reality TV-style contests for human contestants.
-
D.
Varmints
Varmints is the critically acclaimed 2016 debut studio album by Scottish composer and producer Anna Meredith, known for its genre-blending mix of electronic, classical, and experimental pop music.
-
E.
Oyunuma
Oyunuma is a hot sulfuric crater lake in Noboribetsu, Hokkaido, known for its steaming waters, strong volcanic activity, and surrounding geothermal landscape.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65f7f08819088f56e8e030851b1 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.