Triple
T13608794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Hyland |
E325132
|
entity |
| Predicate | film |
P9968
|
FINISHED |
| Object | Geek Charming |
E1050573
|
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: Geek Charming | Statement: [Sarah Hyland, film, Geek Charming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geek Charming Context triple: [Sarah Hyland, film, Geek Charming]
-
A.
Geek Charming
chosen
Geek Charming is a Disney Channel original teen romantic comedy film about a popular girl and a film geek whose lives intersect through an unlikely documentary project.
-
B.
Beauty and the Geek
Beauty and the Geek is a reality television series that pairs socially awkward but intelligent men with socially adept women in a competition designed to challenge stereotypes and foster personal growth.
-
C.
Geek in the Pink
"Geek in the Pink" is a playful, funk-infused pop song by singer-songwriter Jason Mraz that showcases his rapid-fire wordplay and upbeat, quirky style.
-
D.
Geeks Bearing Gifts
Geeks Bearing Gifts is a book by computing pioneer Ted Nelson that reflects on the history, philosophy, and future of digital media and information technology.
-
E.
Geeks Bearing Gifts
Geeks Bearing Gifts is a media and journalism-focused book by Jeff Jarvis that explores how digital disruption is reshaping news and proposes new models for the future of journalism.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae56e2081909c0fd044ce3730a9 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:50 p.m.