Triple
T22946902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duma |
E569897
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
George Acogny
George Acogny is a composer best known for his work on the soundtrack of the film "Duma."
|
E1585993
|
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: George Acogny | Statement: [Duma, musicBy, George Acogny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Acogny Context triple: [Duma, musicBy, George Acogny]
-
A.
Frederic Kerrest
Frederic Kerrest is an American entrepreneur and co-founder of Okta, a leading identity and access management company.
-
B.
Antoine Hennion
Antoine Hennion is a French sociologist known for his influential work on the sociology of culture, music, and mediation.
-
C.
René Julliard
René Julliard was a prominent 20th-century French publisher and founder of the Éditions René Julliard publishing house, known for bringing major literary works to a wide audience.
-
D.
Jacques Revaux
Jacques Revaux is a French songwriter best known for co-composing the classic chanson "Comme d'habitude," which became internationally famous as "My Way."
-
E.
Charles Lemaresquier
Charles Lemaresquier was a French architect known for his early 20th-century academic and institutional buildings, continuing the Beaux-Arts tradition in France.
- 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: George Acogny Triple: [Duma, musicBy, George Acogny]
Generated description
George Acogny is a composer best known for his work on the soundtrack of the film "Duma."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Acogny Target entity description: George Acogny is a composer best known for his work on the soundtrack of the film "Duma."
-
A.
Frederic Kerrest
Frederic Kerrest is an American entrepreneur and co-founder of Okta, a leading identity and access management company.
-
B.
Antoine Hennion
Antoine Hennion is a French sociologist known for his influential work on the sociology of culture, music, and mediation.
-
C.
René Julliard
René Julliard was a prominent 20th-century French publisher and founder of the Éditions René Julliard publishing house, known for bringing major literary works to a wide audience.
-
D.
Jacques Revaux
Jacques Revaux is a French songwriter best known for co-composing the classic chanson "Comme d'habitude," which became internationally famous as "My Way."
-
E.
Charles Lemaresquier
Charles Lemaresquier was a French architect known for his early 20th-century academic and institutional buildings, continuing the Beaux-Arts tradition in France.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819e559c81909e63acfc23f9476b |
completed | April 29, 2026, 3:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c6770173081909fdb657a9a44eb9a |
completed | May 19, 2026, 1:36 p.m. |
| NEDg | Description generation | batch_6a0c72132a608190b44c96de39b7187a |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76e904b08190a5329a3ed56291dc |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 3:46 p.m.