Triple
T18814178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Algernon Parsons |
E460090
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Mary Field
Mary Field was the mother of British engineer and steam turbine pioneer Charles Algernon Parsons.
|
E1344871
|
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 Field | Statement: [Charles Algernon Parsons, mother, Mary Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Field Context triple: [Charles Algernon Parsons, mother, Mary Field]
-
A.
Mary Field
Mary Field was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
-
B.
Virginia Fields
Virginia Fields is known as the wife of legendary American football coach and broadcaster John Madden.
-
C.
May Field
May Field is an equestrian sports venue that hosted the equestrian events of the 1936 Summer Olympics in Berlin.
-
D.
Jamie Fields
Jamie Fields is a central teenage character in the 2016 coming-of-age film "20th Century Women," navigating identity, relationships, and adulthood in late-1970s California.
-
E.
Mattie Franklin
Mattie Franklin is a Marvel Comics superhero who becomes the third Spider-Woman, gaining spider-like powers and operating within the Spider-Man universe.
- 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 Field Triple: [Charles Algernon Parsons, mother, Mary Field]
Generated description
Mary Field was the mother of British engineer and steam turbine pioneer Charles Algernon Parsons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Field Target entity description: Mary Field was the mother of British engineer and steam turbine pioneer Charles Algernon Parsons.
-
A.
Mary Field
Mary Field was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
-
B.
Virginia Fields
Virginia Fields is known as the wife of legendary American football coach and broadcaster John Madden.
-
C.
May Field
May Field is an equestrian sports venue that hosted the equestrian events of the 1936 Summer Olympics in Berlin.
-
D.
Jamie Fields
Jamie Fields is a central teenage character in the 2016 coming-of-age film "20th Century Women," navigating identity, relationships, and adulthood in late-1970s California.
-
E.
Mattie Franklin
Mattie Franklin is a Marvel Comics superhero who becomes the third Spider-Woman, gaining spider-like powers and operating within the Spider-Man universe.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3df2d3881909b336d813bbfd0aa |
completed | April 20, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bc5fb2c8190ae2fa1727427fd8c |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a055ff5103881908cc6f21428ea5c23 |
completed | May 14, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0563db346481909fbdcb2e80ea0fcf |
completed | May 14, 2026, 5:55 a.m. |
Created at: April 10, 2026, 11:53 a.m.