Triple
T20029145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramona and Beezus |
E495072
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Laurie Craig |
—
|
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: Laurie Craig | Statement: [Ramona and Beezus, screenwriter, Laurie Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie Craig Context triple: [Ramona and Beezus, screenwriter, Laurie Craig]
-
A.
Laurie Craig
chosen
Laurie Craig is a screenwriter best known for co-writing the 2006 sports drama film "Paulie."
-
B.
Melissa Hensarling
Melissa Hensarling is the wife of former U.S. Congressman Jeb Hensarling and a figure known primarily in connection with his political career.
-
C.
Kathy Swanson
Kathy Swanson is known as the former wife of American stand-up comedian and actor Andrew Dice Clay.
-
D.
Nancy Daly
Nancy Daly was a prominent Los Angeles philanthropist and civic leader known for her work on child welfare and education initiatives.
-
E.
Cynthia Murphy
Cynthia Murphy is a central maternal character in the musical "Dear Evan Hansen," known as the caring but emotionally strained mother of Connor and Zoe Murphy.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.