Triple
T14696521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Ogilvy |
E345176
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Blood, Brains and Beer
Blood, Brains and Beer is the autobiographical book by legendary advertising executive David Ogilvy, chronicling his life and career in the advertising industry.
|
E1113661
|
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: Blood, Brains and Beer | Statement: [David Ogilvy, notableWork, Blood, Brains and Beer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blood, Brains and Beer Context triple: [David Ogilvy, notableWork, Blood, Brains and Beer]
-
A.
Brain Stew
"Brain Stew" is a grungy, slow-tempo rock song by Green Day, known for its repetitive riff and lyrics about insomnia and mental exhaustion.
-
B.
The Man Who Loved Beer
"The Man Who Loved Beer" is a song by British singer-songwriter David Byrne, featured on his 2004 album *Grown Backwards*.
-
C.
Blood, Sex and Booze
Blood, Sex and Booze is a punk rock song by the American band Green Day, known for its raw energy and provocative themes.
-
D.
Drink a Beer
"Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
-
E.
Bubbles in My Beer
"Bubbles in My Beer" is a country song featured on Willie Nelson's influential 1973 album *Shotgun Willie*.
- 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: Blood, Brains and Beer Triple: [David Ogilvy, notableWork, Blood, Brains and Beer]
Generated description
Blood, Brains and Beer is the autobiographical book by legendary advertising executive David Ogilvy, chronicling his life and career in the advertising industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blood, Brains and Beer Target entity description: Blood, Brains and Beer is the autobiographical book by legendary advertising executive David Ogilvy, chronicling his life and career in the advertising industry.
-
A.
Brain Stew
"Brain Stew" is a grungy, slow-tempo rock song by Green Day, known for its repetitive riff and lyrics about insomnia and mental exhaustion.
-
B.
The Man Who Loved Beer
"The Man Who Loved Beer" is a song by British singer-songwriter David Byrne, featured on his 2004 album *Grown Backwards*.
-
C.
Blood, Sex and Booze
Blood, Sex and Booze is a punk rock song by the American band Green Day, known for its raw energy and provocative themes.
-
D.
Drink a Beer
"Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
-
E.
Bubbles in My Beer
"Bubbles in My Beer" is a country song featured on Willie Nelson's influential 1973 album *Shotgun Willie*.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde19040e0819099159ed2609c6965 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde43698e881908226ae4907910249 |
completed | May 8, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde53290a48190b3701472bb4e3d63 |
completed | May 8, 2026, 1:29 p.m. |
Created at: April 10, 2026, 1:28 a.m.