Triple
T12877371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocktail |
E308002
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lisa Banes |
E380075
|
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: Lisa Banes | Statement: [Cocktail, starring, Lisa Banes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Banes Context triple: [Cocktail, starring, Lisa Banes]
-
A.
Lisa Banes
chosen
Lisa Banes was an American stage, film, and television actress known for her versatile character roles in productions such as "Gone Girl," "Cocktail," and numerous Broadway and TV appearances.
-
B.
Ilene Chaiken
Ilene Chaiken is an American television writer and producer best known as the creator of "The L Word" and a key creative force behind several high-profile drama series.
-
C.
Ann Biderman
Ann Biderman is an American screenwriter and television creator known for her work on crime dramas such as the film "Public Enemies" and the TV series "Southland" and "Ray Donovan."
-
D.
Linda Kingsberg
Linda Kingsberg is best known as the wife of American actor Ernie Hudson, recognized for his roles in films such as "Ghostbusters."
-
E.
Rita Gilman
Rita Gilman was the wife of American film actor Wallace Beery, known primarily for her marriage to the prominent Hollywood star.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8be7834819085bfce037c467004 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 5:38 p.m.