Triple
T16078971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna Kerns |
E390049
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joanna Kerns |
—
|
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: Joanna Kerns | Statement: [Joanna Kerns, name, Joanna Kerns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joanna Kerns Context triple: [Joanna Kerns, name, Joanna Kerns]
-
A.
Joanna Kerns
chosen
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
-
B.
Jorja Curtright
Jorja Curtright was an American actress and novelist best known for her work in mid-20th-century film and television and for being married to writer Sidney Sheldon.
-
C.
Christine Goad
Christine Goad was the wife of Italian-English novelist and adventure writer Rafael Sabatini.
-
D.
Kirsten Sheridan
Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c401a881908fcb0b753d2dfc8a |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.