Triple
T15064149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vow |
E379711
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Abby Kohn |
E512522
|
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: Abby Kohn | Statement: [The Vow, screenwriter, Abby Kohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abby Kohn Context triple: [The Vow, screenwriter, Abby Kohn]
-
A.
Abby Kohn
chosen
Abby Kohn is an American screenwriter and director best known for co-writing popular romantic comedies such as "He's Just Not That Into You" and "Never Been Kissed."
-
B.
Abby Buchman
Abby Buchman is a central character in the drama film "Rachel Getting Married," around whom much of the story’s emotional tension and family dynamics revolve.
-
C.
Abigail Johnson
Abigail Johnson is an American billionaire businesswoman who serves as the CEO of Fidelity Investments, one of the largest asset management firms in the world.
-
D.
Abby McGrew
Abby McGrew is an American philanthropist best known as the wife of former NFL quarterback Eli Manning.
-
E.
Abby Clark
Abby Clark is a 911 emergency call center operator and main character from the television series "9-1-1," portrayed by Connie Britton.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c8b3ac8190b8fc921b6e6eeed5 |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.