Triple
T15927307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Hays |
E386234
|
entity |
| Predicate | interviewedBy |
P40000
|
FINISHED |
| Object |
Elise Montgomery
Elise Montgomery is a journalist or interviewer known for conducting an interview with Wayne Hays.
|
E1188584
|
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: Elise Montgomery | Statement: [Wayne Hays, interviewedBy, Elise Montgomery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elise Montgomery Context triple: [Wayne Hays, interviewedBy, Elise Montgomery]
-
A.
Elise Mills
Elise Mills was a member of the prominent Mills family, known primarily as the daughter of influential American financier and philanthropist Darius Ogden Mills.
-
B.
Elise Neal
Elise Neal is an American actress best known for her work in film and television, including prominent roles in 1990s and 2000s sitcoms and dramas.
-
C.
Elise McKenna
Elise McKenna is the fictional early-20th-century stage actress who serves as the central love interest in the time-travel romance film "Somewhere in Time."
-
D.
Eloise Kelly
Eloise Kelly is a spirited American woman and romantic lead in the 1953 adventure film "Mogambo," portrayed by Ava Gardner.
-
E.
Eliza Roberts
Eliza Roberts is an American actress and casting director, known for her work in film and television and her long career in the entertainment industry.
- 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: Elise Montgomery Triple: [Wayne Hays, interviewedBy, Elise Montgomery]
Generated description
Elise Montgomery is a journalist or interviewer known for conducting an interview with Wayne Hays.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elise Montgomery Target entity description: Elise Montgomery is a journalist or interviewer known for conducting an interview with Wayne Hays.
-
A.
Elise Mills
Elise Mills was a member of the prominent Mills family, known primarily as the daughter of influential American financier and philanthropist Darius Ogden Mills.
-
B.
Elise Neal
Elise Neal is an American actress best known for her work in film and television, including prominent roles in 1990s and 2000s sitcoms and dramas.
-
C.
Elise McKenna
Elise McKenna is the fictional early-20th-century stage actress who serves as the central love interest in the time-travel romance film "Somewhere in Time."
-
D.
Eloise Kelly
Eloise Kelly is a spirited American woman and romantic lead in the 1953 adventure film "Mogambo," portrayed by Ava Gardner.
-
E.
Eliza Roberts
Eliza Roberts is an American actress and casting director, known for her work in film and television and her long career in the entertainment industry.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156872964819083a2fb9f86df61ba |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bd67f48190aee4f892206d9326 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc621ef1c8190933238291d69d7e1 |
completed | May 9, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc6c0792c8190af7945983b7bb25a |
completed | May 9, 2026, 11:44 p.m. |
Created at: April 10, 2026, 4:52 a.m.