Triple
T2886978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Greenwood |
E59529
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Martin Broones
Martin Broones was an American composer and songwriter best known for his work on film and stage music in the early to mid-20th century.
|
E306845
|
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: Martin Broones | Statement: [Charlotte Greenwood, spouse, Martin Broones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Broones Context triple: [Charlotte Greenwood, spouse, Martin Broones]
-
A.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
-
B.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
C.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
D.
Gavin Millar
Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
-
E.
Andrew Bennison
Andrew Bennison was an American screenwriter active during the early sound era of Hollywood 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: Martin Broones Triple: [Charlotte Greenwood, spouse, Martin Broones]
Generated description
Martin Broones was an American composer and songwriter best known for his work on film and stage music in the early to mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Broones Target entity description: Martin Broones was an American composer and songwriter best known for his work on film and stage music in the early to mid-20th century.
-
A.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
-
B.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
C.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
D.
Gavin Millar
Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
-
E.
Andrew Bennison
Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe047aa7c8190a0ed570c13f3a1a2 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b031713e14819098db4cfaaea74f73 |
completed | March 10, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69b0332021048190a846847e17ccf6f2 |
completed | March 10, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0340e559081909e06d5383eca3019 |
completed | March 10, 2026, 3:09 p.m. |
Created at: March 6, 2026, 10:03 p.m.