Triple
T14218551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bedford Diaries |
E352424
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Penn Badgley |
E504784
|
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: Penn Badgley | Statement: [The Bedford Diaries, stars, Penn Badgley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penn Badgley Context triple: [The Bedford Diaries, stars, Penn Badgley]
-
A.
Penn Badgley
chosen
Penn Badgley is an American actor and musician best known for his roles in the television series "Gossip Girl" and "You."
-
B.
Ben Platt
Ben Platt is an American actor and singer best known for originating the title role in the Broadway musical "Dear Evan Hansen" and for his work in film, television, and pop music.
-
C.
Douglas Booth
Douglas Booth is an English actor known for his roles in film and television dramas, including literary and period adaptations.
-
D.
Marc Chalamet
Marc Chalamet is a French journalist and editor best known as the father of actor Timothée Chalamet.
-
E.
Noah Centineo
Noah Centineo is an American actor known for his breakout roles in teen romantic comedies like Netflix’s "To All the Boys I’ve Loved Before" series and for expanding into superhero films and action projects.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de621258d4819085f358cd2cf109e4 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28121a288190975d5852f9a503d4 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:06 a.m.