Triple
T4227032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Falk |
E94482
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Shera Danese
Shera Danese is an American actress best known for her frequent guest appearances on the television series "Columbo" and for being the longtime wife of actor Peter Falk.
|
E469183
|
NE FINISHED |
How this triple was built (4 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: Shera Danese | Statement: [Peter Falk, spouse, Shera Danese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shera Danese Context triple: [Peter Falk, spouse, Shera Danese]
-
A.
Diandra Luker
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
-
B.
Denise Mara
Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
-
C.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
-
D.
Jeanne Vander Myde
Jeanne Vander Myde is best known as the wife of the late U.S. Senator John Warner of Virginia.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shera Danese Triple: [Peter Falk, spouse, Shera Danese]
Generated description
Shera Danese is an American actress best known for her frequent guest appearances on the television series "Columbo" and for being the longtime wife of actor Peter Falk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shera Danese Target entity description: Shera Danese is an American actress best known for her frequent guest appearances on the television series "Columbo" and for being the longtime wife of actor Peter Falk.
-
A.
Diandra Luker
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
-
B.
Denise Mara
Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
-
C.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
-
D.
Jeanne Vander Myde
Jeanne Vander Myde is best known as the wife of the late U.S. Senator John Warner of Virginia.
-
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. chosen
Provenance (5 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e5003008190834726e46df3ee9b |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4379623c8190856b03238e3ef0dd |
completed | March 21, 2026, 7:06 a.m. |
| NEDg | Description generation | batch_69be456d92d48190934a695b1aefe0fd |
completed | March 21, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be461311ec8190b39c0275640240d9 |
completed | March 21, 2026, 7:17 a.m. |
Created at: March 12, 2026, 11:04 p.m.