Triple
T15289281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Jewell (film) |
E365484
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jessica Meier |
E1104930
|
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: Jessica Meier | Statement: [Richard Jewell (film), producer, Jessica Meier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Meier Context triple: [Richard Jewell (film), producer, Jessica Meier]
-
A.
Jessica Meier
chosen
Jessica Meier is a film producer known for her work on Clint Eastwood’s crime drama "The Mule."
-
B.
Alexis Knief
Alexis Knief is the longtime wife of actor Timothy Olyphant, known for maintaining a very private life outside of his Hollywood career.
-
C.
Nicole Schuetz
Nicole Schuetz is an American entrepreneur and impact investor known for her work in sustainable finance and as the founder of Sutro Energy Group.
-
D.
Megan Beyer
Megan Beyer is an American journalist and civic leader known for her work in cultural diplomacy, gender equality, and public policy initiatives.
-
E.
Jenna Rink
Jenna Rink is the awkward 13-year-old girl who magically wakes up as her 30-year-old self in the romantic comedy film "13 Going on 30," navigating adulthood with a teenager’s mindset.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7d4da4819080f101c3a525ea11 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.