Triple
T16191318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffin Gluck |
E392946
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tall Girl 2 |
E798641
|
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: Tall Girl 2 | Statement: [Griffin Gluck, notableWork, Tall Girl 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tall Girl 2 Context triple: [Griffin Gluck, notableWork, Tall Girl 2]
-
A.
Tall Girl 2
chosen
Tall Girl 2 is a 2022 Netflix teen romantic comedy film that continues the story of Jodi Kreyman as she navigates newfound popularity, self-doubt, and relationships in high school.
-
B.
The Tall Guy
The Tall Guy is a 1989 British romantic comedy film starring Jeff Goldblum and Emma Thompson, written by Richard Curtis and set in London’s West End theatre world.
-
C.
Twice as Tall
Twice as Tall is a Grammy-winning 2020 studio album by Nigerian artist Burna Boy that blends Afro-fusion with socially conscious themes and global collaborations.
-
D.
Tall Anna
Tall Anna is a famous freestanding sea stack and natural rock formation off the coast of Heligoland, Germany, known as a prominent local landmark.
-
E.
Pin Up Girl
Pin Up Girl is a 1944 Technicolor musical comedy film starring Betty Grable as a USO entertainer whose romantic misadventures unfold against a World War II home-front backdrop.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d5769c8190bbb604bfa095a1a5 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff095504819096c36d6c5d131207 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.