Triple
T21039629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Silva |
E518284
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mary Ramus
Mary Ramus is best known as the wife of American character actor Henry Silva, recognized for his tough-guy roles in film and television.
|
E1474105
|
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: Mary Ramus | Statement: [Henry Silva, spouse, Mary Ramus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Ramus Context triple: [Henry Silva, spouse, Mary Ramus]
-
A.
Mary Rommely
Mary Rommely is the deeply religious, old-world immigrant grandmother in Betty Smith’s novel "A Tree Grows in Brooklyn," known for her enduring faith and influence on her daughter Katie Nolan and granddaughter Francie.
-
B.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
C.
Mary Embrey
Mary Embrey is a central character in the superhero film "Hancock," revealed to share the protagonist's powers and a complex, intertwined past with him.
-
D.
Anna Crouse
Anna Crouse is a notable member of the prominent Lindsay and Crouse family, recognized for her connection to this influential lineage.
-
E.
Mary Robbins
Mary Robbins is known as the mother of American actor and filmmaker Tim Robbins.
- 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: Mary Ramus Triple: [Henry Silva, spouse, Mary Ramus]
Generated description
Mary Ramus is best known as the wife of American character actor Henry Silva, recognized for his tough-guy roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Ramus Target entity description: Mary Ramus is best known as the wife of American character actor Henry Silva, recognized for his tough-guy roles in film and television.
-
A.
Mary Rommely
Mary Rommely is the deeply religious, old-world immigrant grandmother in Betty Smith’s novel "A Tree Grows in Brooklyn," known for her enduring faith and influence on her daughter Katie Nolan and granddaughter Francie.
-
B.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
C.
Mary Embrey
Mary Embrey is a central character in the superhero film "Hancock," revealed to share the protagonist's powers and a complex, intertwined past with him.
-
D.
Anna Crouse
Anna Crouse is a notable member of the prominent Lindsay and Crouse family, recognized for her connection to this influential lineage.
-
E.
Mary Robbins
Mary Robbins is known as the mother of American actor and filmmaker Tim Robbins.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a098fe1d28c8190802140e3ee44716d |
completed | May 17, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a09905e261881908faf2b04b8f6db0e |
completed | May 17, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0990ac5fbc8190aea25f673797f40a |
completed | May 17, 2026, 9:55 a.m. |
Created at: April 16, 2026, 2:14 p.m.