Triple
T2403055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life with Lucy |
E50211
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ann Dusenberry |
E260303
|
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: Ann Dusenberry | Statement: [Life with Lucy, starring, Ann Dusenberry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Dusenberry Context triple: [Life with Lucy, starring, Ann Dusenberry]
-
A.
Ann Dusenberry
chosen
Ann Dusenberry is an American actress best known for her role in the thriller sequel "Jaws 2" and for her work in film and television during the 1970s and 1980s.
-
B.
Marilee Fiebig
Marilee Fiebig is an American attorney and immigration lawyer who has also worked as a fashion and entertainment industry executive.
-
C.
Donna Moss
Donna Moss is a key fictional character on the television series "The West Wing," known for her role as Josh Lyman’s witty and capable assistant who evolves into a significant political operative.
-
D.
Kathleen DuRoss
Kathleen DuRoss was an American former model and socialite best known as the third wife of industrialist Henry Ford II.
-
E.
Joyce Redman
Joyce Redman was an Irish-born British actress known for her character roles in film, television, and theatre, including acclaimed performances in adaptations of classic literature.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8f8aa2881909192920ee394f0b3 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec330d09c819085930d71b21acb7c |
completed | March 21, 2026, 4:11 p.m. |
Created at: March 4, 2026, 7:58 p.m.