Triple
T20598048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Fairchild |
E506100
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object | Nora Bing |
—
|
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: Nora Bing | Statement: [Morgan Fairchild, portrayedCharacter, Nora Bing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Bing Context triple: [Morgan Fairchild, portrayedCharacter, Nora Bing]
-
A.
Nora Lang
Nora Lang was an editor known for her work on Andrew Lang’s popular collection of folk and fairy tales, including volumes such as *The Crimson Fairy Book*.
-
B.
Nora Tyler Bing
chosen
Nora Tyler Bing is Chandler Bing’s flamboyant, romance-novelist mother from the television sitcom "Friends."
-
C.
Nora Kaye
Nora Kaye was an acclaimed American ballerina and actress, renowned as one of the leading dramatic dancers of the mid-20th century.
-
D.
Nora Hayden
Nora Hayden was an American actress and model active in the mid-20th century, known for her roles in film and television.
-
E.
Nora Rowley
Nora Rowley is a central fictional character in Anthony Trollope’s novel "He Knew He Was Right," notable for her intelligence, independence, and complex romantic choices within Victorian society.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1d15b08190a720fc7cefbf333e |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:40 a.m.