Triple
T2041931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Genn |
E44763
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Margaret Genn
Margaret Genn was the wife of British actor and barrister Leo Genn.
|
E332749
|
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 Genn | Statement: [Leo Genn, spouse, Margaret Genn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Genn Context triple: [Leo Genn, spouse, Margaret Genn]
-
A.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
-
B.
Margaret Fink
Margaret Fink is an Australian film producer best known for her work on influential Australian New Wave films, including the acclaimed adaptation of "My Brilliant Career."
-
C.
Margaret Tucker
Margaret Tucker was an Aboriginal Australian activist and one of the country’s first female Indigenous authors, known for her pioneering work in civil rights and welfare for Aboriginal people.
-
D.
Margaret Hogan
Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
-
E.
Margaret Haley
Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
- 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 Genn Triple: [Leo Genn, spouse, Margaret Genn]
Generated description
Margaret Genn was the wife of British actor and barrister Leo Genn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margaret Genn Target entity description: Margaret Genn was the wife of British actor and barrister Leo Genn.
-
A.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
-
B.
Margaret Fink
Margaret Fink is an Australian film producer best known for her work on influential Australian New Wave films, including the acclaimed adaptation of "My Brilliant Career."
-
C.
Margaret Tucker
Margaret Tucker was an Aboriginal Australian activist and one of the country’s first female Indigenous authors, known for her pioneering work in civil rights and welfare for Aboriginal people.
-
D.
Margaret Hogan
Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
-
E.
Margaret Haley
Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb95587348190bb5719faeaf0aa5d |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235511e848190897493ab54d2f198 |
completed | March 12, 2026, 3:38 a.m. |
| NEDg | Description generation | batch_69b2365f20dc819081b8d2beccc31c19 |
completed | March 12, 2026, 3:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b237397e14819093a7192d28c59ad1 |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 4, 2026, 7:39 p.m.