Triple
T21104988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Webber |
E520014
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lenore Webber
Lenore Webber is known as the wife of American character actor Robert Webber.
|
E1466990
|
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: Lenore Webber | Statement: [Robert Webber, spouse, Lenore Webber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenore Webber Context triple: [Robert Webber, spouse, Lenore Webber]
-
A.
Barbra Streisand
Barbra Streisand is an acclaimed American singer, actress, and filmmaker known for her powerful voice, award-winning performances, and enduring influence on popular culture.
-
B.
Melba Moore
Melba Moore is an American singer and actress known for her powerful vocals and Tony Award–winning work on Broadway as well as her success in R&B music.
-
C.
Loni Anderson
Loni Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
-
D.
Olivia Newton-John
Olivia Newton-John was a British-Australian singer and actress best known for her role as Sandy in the film musical "Grease" and for hit songs such as "Physical."
-
E.
Deedee Rogers
Deedee Rogers is an individual known primarily through her personal association with Emma Jacklin.
- 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: Lenore Webber Triple: [Robert Webber, spouse, Lenore Webber]
Generated description
Lenore Webber is known as the wife of American character actor Robert Webber.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lenore Webber Target entity description: Lenore Webber is known as the wife of American character actor Robert Webber.
-
A.
Barbra Streisand
Barbra Streisand is an acclaimed American singer, actress, and filmmaker known for her powerful voice, award-winning performances, and enduring influence on popular culture.
-
B.
Melba Moore
Melba Moore is an American singer and actress known for her powerful vocals and Tony Award–winning work on Broadway as well as her success in R&B music.
-
C.
Loni Anderson
Loni Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
-
D.
Olivia Newton-John
Olivia Newton-John was a British-Australian singer and actress best known for her role as Sandy in the film musical "Grease" and for hit songs such as "Physical."
-
E.
Deedee Rogers
Deedee Rogers is an individual known primarily through her personal association with Emma Jacklin.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b6150f08190a3738f1eda7fa834 |
completed | April 21, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a64af448190b307dff9d4a87baf |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095c4b5ad8819093e5c0de866be84b |
completed | May 17, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095cda3c8081908d85b3da4fc1c06f |
completed | May 17, 2026, 6:14 a.m. |
Created at: April 16, 2026, 2:53 p.m.