Triple
T4298801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earle Hagen |
E99779
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Laura Roberts
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
|
E445477
|
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: Laura Roberts | Statement: [Earle Hagen, spouse, Laura Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Roberts Context triple: [Earle Hagen, spouse, Laura Roberts]
-
A.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
-
B.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
C.
Virginia Kelley
Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
-
D.
Laura Lyons
Laura Lyons is the mother of American fashion model Lily Aldridge.
-
E.
Karen Richards
Karen Richards is a television producer best known for her executive production work on the horror drama series "Penny Dreadful."
- 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: Laura Roberts Triple: [Earle Hagen, spouse, Laura Roberts]
Generated description
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Roberts Target entity description: Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
-
A.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
-
B.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
C.
Virginia Kelley
Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
-
D.
Laura Lyons
Laura Lyons is the mother of American fashion model Lily Aldridge.
-
E.
Karen Richards
Karen Richards is a television producer best known for her executive production work on the horror drama series "Penny Dreadful."
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509d39348190aa83304661230cba |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69badb1ba5d0819097382a689002cca5 |
completed | March 18, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_69bb0abc3ec0819093b405374780d1c0 |
completed | March 18, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bb0b2ca62481909d9eb06f336a7996 |
completed | March 18, 2026, 8:29 p.m. |
Created at: March 12, 2026, 11:08 p.m.