Triple
T8860866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Martino |
E210882
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Judi Martino
Judi Martino is best known as the wife of American traditional pop singer and actor Al Martino.
|
E849788
|
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: Judi Martino | Statement: [Al Martino, spouse, Judi Martino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judi Martino Context triple: [Al Martino, spouse, Judi Martino]
-
A.
Lisa Bluder
Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
-
B.
Edie Martin
Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
-
C.
Sherry Stringfield
Sherry Stringfield is an American actress best known for her role as Dr. Susan Lewis on the television medical drama "ER."
-
D.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
-
E.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
- 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: Judi Martino Triple: [Al Martino, spouse, Judi Martino]
Generated description
Judi Martino is best known as the wife of American traditional pop singer and actor Al Martino.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Judi Martino Target entity description: Judi Martino is best known as the wife of American traditional pop singer and actor Al Martino.
-
A.
Lisa Bluder
Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
-
B.
Edie Martin
Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
-
C.
Sherry Stringfield
Sherry Stringfield is an American actress best known for her role as Dr. Susan Lewis on the television medical drama "ER."
-
D.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
-
E.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6523db338819088e2fadf346ad845 |
completed | April 8, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69d6561b8ad081908bed1bb0374a6e93 |
completed | April 8, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d656ef9cb88190b88345a45fbeca1d |
completed | April 8, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:50 p.m.