Triple
T12453777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sergeant |
E297599
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Margaret Sergeant
Margaret Sergeant is known primarily as the daughter of British journalist and political commentator John Sergeant.
|
E985272
|
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: Margaret Sergeant | Statement: [John Sergeant, child, Margaret Sergeant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Sergeant Context triple: [John Sergeant, child, Margaret Sergeant]
-
A.
Mary Dickson
Mary Dickson is known as the wife of American film director Richard Fleischer.
-
B.
Martha Huggins
Martha Huggins is an actress best known for her role in the classic film "The Ghost and Mrs. Muir."
-
C.
Margaretta Forten
Margaretta Forten was a 19th-century African American abolitionist, educator, and women's rights advocate from Philadelphia who played a key leadership role in the city's Black reform community.
-
D.
Margaret Burr
Margaret Burr was the wife of renowned 18th-century English portrait and landscape painter Thomas Gainsborough and the mother of his two daughters.
-
E.
Marietta Edgecombe
Marietta Edgecombe is a Hogwarts student in the Harry Potter series who secretly informs Dolores Umbridge about Dumbledore’s Army, leading to the group’s exposure.
- 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: Margaret Sergeant Triple: [John Sergeant, child, Margaret Sergeant]
Generated description
Margaret Sergeant is known primarily as the daughter of British journalist and political commentator John Sergeant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margaret Sergeant Target entity description: Margaret Sergeant is known primarily as the daughter of British journalist and political commentator John Sergeant.
-
A.
Mary Dickson
Mary Dickson is known as the wife of American film director Richard Fleischer.
-
B.
Martha Huggins
Martha Huggins is an actress best known for her role in the classic film "The Ghost and Mrs. Muir."
-
C.
Margaretta Forten
Margaretta Forten was a 19th-century African American abolitionist, educator, and women's rights advocate from Philadelphia who played a key leadership role in the city's Black reform community.
-
D.
Margaret Burr
Margaret Burr was the wife of renowned 18th-century English portrait and landscape painter Thomas Gainsborough and the mother of his two daughters.
-
E.
Marietta Edgecombe
Marietta Edgecombe is a Hogwarts student in the Harry Potter series who secretly informs Dolores Umbridge about Dumbledore’s Army, leading to the group’s exposure.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6412345ac8190826f4fecb8055fb5 |
completed | May 2, 2026, 6:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64231606481909b8dd9d878670a6c |
completed | May 2, 2026, 6:28 p.m. |
Created at: April 8, 2026, 9:56 p.m.