Triple
T14134012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Len Deighton |
E350242
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bomber
"Bomber" is a World War II novel by Len Deighton that offers a detailed, hour-by-hour account of a single RAF bombing raid over Germany.
|
E1082698
|
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: Bomber | Statement: [Len Deighton, notableWork, Bomber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bomber Context triple: [Len Deighton, notableWork, Bomber]
-
A.
Bomber
Bomber is the nickname and mascot representing the athletic teams of Ithaca College.
-
B.
Der Bomber
Der Bomber is the famous nickname of German football legend Gerd Müller, renowned as one of the most prolific goal scorers in the history of the sport.
-
C.
Bombers
Bombers was the nickname of the St. Louis Bombers, a former professional basketball team that played in the Basketball Association of America and early NBA.
-
D.
Bombers
Bombers is the nickname of the Essendon Football Club, a professional Australian rules football team in the Australian Football League (AFL).
-
E.
Bandit Bomber
Bandit Bomber is a suspended family roller coaster and interactive water ride at Yas Waterworld in Abu Dhabi, known for its onboard water and laser effects.
- 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: Bomber Triple: [Len Deighton, notableWork, Bomber]
Generated description
"Bomber" is a World War II novel by Len Deighton that offers a detailed, hour-by-hour account of a single RAF bombing raid over Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bomber Target entity description: "Bomber" is a World War II novel by Len Deighton that offers a detailed, hour-by-hour account of a single RAF bombing raid over Germany.
-
A.
Bomber
Bomber is the nickname and mascot representing the athletic teams of Ithaca College.
-
B.
Der Bomber
Der Bomber is the famous nickname of German football legend Gerd Müller, renowned as one of the most prolific goal scorers in the history of the sport.
-
C.
Bombers
Bombers was the nickname of the St. Louis Bombers, a former professional basketball team that played in the Basketball Association of America and early NBA.
-
D.
Bombers
Bombers is the nickname of the Essendon Football Club, a professional Australian rules football team in the Australian Football League (AFL).
-
E.
Bandit Bomber
Bandit Bomber is a suspended family roller coaster and interactive water ride at Yas Waterworld in Abu Dhabi, known for its onboard water and laser effects.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1288b48190a382732fac13aaf7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0dec2488190be9c24d3744e7243 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce206b0588190a0f4b24231d3c365 |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 11:40 p.m.