Triple
T16103823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Gravel |
E390688
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rita Martin
Rita Martin is best known as the wife of the late U.S. Senator and 2008 presidential candidate Mike Gravel.
|
E1194308
|
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: Rita Martin | Statement: [Mike Gravel, spouse, Rita Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rita Martin Context triple: [Mike Gravel, spouse, Rita Martin]
-
A.
Norma Heyman
Norma Heyman is a British film producer known for her work on acclaimed films such as "Dangerous Liaisons" and "Mrs Henderson Presents."
-
B.
Rita Dominic
Rita Dominic is a renowned Nigerian actress and film producer, celebrated as one of Nollywood’s leading stars.
-
C.
Marlene Mathias
Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
-
D.
Ana Ortiz
Ana Ortiz is an American actress best known for her role as Hilda Suarez on the television series "Ugly Betty."
-
E.
Barbara Carrera
Barbara Carrera is a Nicaraguan-American actress and former model best known for her roles in 1970s and 1980s films and television, including playing the villainous Fatima Blush in the James Bond film "Never Say Never Again."
- 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: Rita Martin Triple: [Mike Gravel, spouse, Rita Martin]
Generated description
Rita Martin is best known as the wife of the late U.S. Senator and 2008 presidential candidate Mike Gravel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rita Martin Target entity description: Rita Martin is best known as the wife of the late U.S. Senator and 2008 presidential candidate Mike Gravel.
-
A.
Norma Heyman
Norma Heyman is a British film producer known for her work on acclaimed films such as "Dangerous Liaisons" and "Mrs Henderson Presents."
-
B.
Rita Dominic
Rita Dominic is a renowned Nigerian actress and film producer, celebrated as one of Nollywood’s leading stars.
-
C.
Marlene Mathias
Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
-
D.
Ana Ortiz
Ana Ortiz is an American actress best known for her role as Hilda Suarez on the television series "Ugly Betty."
-
E.
Barbara Carrera
Barbara Carrera is a Nicaraguan-American actress and former model best known for her roles in 1970s and 1980s films and television, including playing the villainous Fatima Blush in the James Bond film "Never Say Never Again."
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6a4b8881908e8dc186381196d8 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba007c08190bf4d3cf092abc7dd |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffecb8c71481908b4913bb078b6415 |
completed | May 10, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed469a5c8190932fa4ebc44358c4 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 5 a.m.