Triple
T10776158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Halyard |
E254201
|
entity |
| Predicate | keyFigure |
P256
|
FINISHED |
| Object |
George Musulin
George Musulin was an American OSS officer of Serbian descent who played a leading role in rescuing downed Allied airmen in Yugoslavia during World War II.
|
E885025
|
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 Musulin | Statement: [Operation Halyard, keyFigure, George Musulin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Musulin Context triple: [Operation Halyard, keyFigure, George Musulin]
-
A.
Joseph Malerba
Joseph Malerba is a French actor best known for his role in the gritty crime television series "Braquo."
-
B.
Daniel Giorgetti
Daniel Giorgetti is a British composer known for his atmospheric and dramatic scores for film and television, including the BBC series "The Hour."
-
C.
George Receli
George Receli is an American drummer best known for his long tenure as a member of Bob Dylan’s touring band.
-
D.
George Kralovansky
George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
-
E.
Louis Guglielmi
Louis Guglielmi, better known by his pseudonym Louiguy, was a French composer famed for writing popular songs such as "La Vie en rose."
- 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 Musulin Triple: [Operation Halyard, keyFigure, George Musulin]
Generated description
George Musulin was an American OSS officer of Serbian descent who played a leading role in rescuing downed Allied airmen in Yugoslavia during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Musulin Target entity description: George Musulin was an American OSS officer of Serbian descent who played a leading role in rescuing downed Allied airmen in Yugoslavia during World War II.
-
A.
Joseph Malerba
Joseph Malerba is a French actor best known for his role in the gritty crime television series "Braquo."
-
B.
Daniel Giorgetti
Daniel Giorgetti is a British composer known for his atmospheric and dramatic scores for film and television, including the BBC series "The Hour."
-
C.
George Receli
George Receli is an American drummer best known for his long tenure as a member of Bob Dylan’s touring band.
-
D.
George Kralovansky
George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
-
E.
Louis Guglielmi
Louis Guglielmi, better known by his pseudonym Louiguy, was a French composer famed for writing popular songs such as "La Vie en rose."
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de238ff88881908676d38dca041cb4 |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de271fb08c8190a44c547083226fd8 |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cecc24c8190a240366e0600426a |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:16 p.m.