Triple
T17975980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Harris "Mother" Jones |
E449472
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mary
Mary is the given name of Mary Harris "Mother" Jones, the prominent American labor and community organizer of the late 19th and early 20th centuries.
|
E1299561
|
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 | Statement: [Mary Harris "Mother" Jones, givenName, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Mary Harris "Mother" Jones, givenName, Mary]
-
A.
Mary
Mary is the given name of Mary Jo Kopechne, the American political campaign specialist who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
-
B.
Mary
Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
-
C.
Mary
Mary is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
-
D.
Mary
Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
-
E.
Mary
Mary is the given name of the American stage and film actress Josephine Hull, known for her roles in classic mid-20th-century theater and cinema.
- 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 Triple: [Mary Harris "Mother" Jones, givenName, Mary]
Generated description
Mary is the given name of Mary Harris "Mother" Jones, the prominent American labor and community organizer of the late 19th and early 20th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary is the given name of Mary Harris "Mother" Jones, the prominent American labor and community organizer of the late 19th and early 20th centuries.
-
A.
Mary
Mary is the given name of Mary Church Terrell, a prominent African American civil rights activist, educator, and suffragist in the late 19th and early 20th centuries.
-
B.
Mary
Mary is the given name of Mary Harriman Rumsey, an American social reformer and founder of the Junior League.
-
C.
Mary
Mary is the given name of Mary Tyler Peabody, an American educator and reformer known for her work in the 19th century.
-
D.
Mary
Mary is the given name of Mary McLeod Bethune, a prominent African American educator, civil rights leader, and founder of Bethune-Cookman University.
-
E.
Mary
Mary is the given name of Mary Ludwig Hays, an American Revolutionary War figure often associated with the legendary heroine "Molly Pitcher."
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fee86c8190a9a220b008e78e10 |
completed | April 19, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337a518908190889e1d41bc65a507 |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a0338a3227c8190bb2d54996a8e875e |
completed | May 12, 2026, 2:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0338e0a7908190a44adb01628c6f25 |
completed | May 12, 2026, 2:27 p.m. |
Created at: April 10, 2026, 10:22 a.m.