Triple
T12769015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Are Marshall |
E305197
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mary Viola
Mary Viola is a film producer known for her work on projects such as the sports drama "We Are Marshall."
|
E1002630
|
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 Viola | Statement: [We Are Marshall, producer, Mary Viola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Viola Context triple: [We Are Marshall, producer, Mary Viola]
-
A.
Mary Desha
Mary Desha was an American educator and civic leader best known as one of the four co-founders of the patriotic lineage organization Daughters of the American Revolution.
-
B.
Elizabeth Feake
Elizabeth Feake was a 17th-century New England colonist known primarily as the wife of military officer and colonial leader John Underhill.
-
C.
Mary Bland
Mary Bland was a member of the prominent Virginia Bland family and the mother of Revolutionary-era planter and politician Henry Lee II.
-
D.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
E.
Mary Tavy
Mary Tavy is a village on the western edge of Dartmoor in Devon, England, historically known for its mining industry and scenic rural setting.
- 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 Viola Triple: [We Are Marshall, producer, Mary Viola]
Generated description
Mary Viola is a film producer known for her work on projects such as the sports drama "We Are Marshall."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Viola Target entity description: Mary Viola is a film producer known for her work on projects such as the sports drama "We Are Marshall."
-
A.
Mary Desha
Mary Desha was an American educator and civic leader best known as one of the four co-founders of the patriotic lineage organization Daughters of the American Revolution.
-
B.
Elizabeth Feake
Elizabeth Feake was a 17th-century New England colonist known primarily as the wife of military officer and colonial leader John Underhill.
-
C.
Mary Bland
Mary Bland was a member of the prominent Virginia Bland family and the mother of Revolutionary-era planter and politician Henry Lee II.
-
D.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
E.
Mary Tavy
Mary Tavy is a village on the western edge of Dartmoor in Devon, England, historically known for its mining industry and scenic rural setting.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f750a08190abf6122baa579bc4 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6890782c48190ae93866cf39b1c25 |
completed | May 2, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68976b60881908abf5b69b8c37e6e |
completed | May 2, 2026, 11:32 p.m. |
Created at: April 9, 2026, 5:28 p.m.