Triple
T18591039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How High the Moon |
E454366
|
entity |
| Predicate | includedIn |
P1393
|
FINISHED |
| Object |
Real Book
The Real Book is a widely used jazz fake book containing lead sheets for hundreds of standard tunes that has become an essential reference for jazz musicians.
|
E1332085
|
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: Real Book | Statement: [How High the Moon, includedIn, Real Book]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real Book Context triple: [How High the Moon, includedIn, Real Book]
-
A.
الكتاب
الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
-
B.
Buch
Buch is a locality in the Berlin borough of Pankow, known for its historic hospital complex and extensive green spaces on the northeastern edge of the city.
-
C.
Date Book
Date Book is a built-in personal information management application for Palm OS devices, used primarily for scheduling appointments and managing calendars.
-
D.
Buchs
Buchs is a municipality in the canton of St. Gallen in northeastern Switzerland, known as an industrial and commercial center near the Liechtenstein border.
-
E.
Book Fund
The Book Fund was a charitable initiative established to provide Christian literature and support to impoverished pastors and ministers.
- 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: Real Book Triple: [How High the Moon, includedIn, Real Book]
Generated description
The Real Book is a widely used jazz fake book containing lead sheets for hundreds of standard tunes that has become an essential reference for jazz musicians.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Real Book Target entity description: The Real Book is a widely used jazz fake book containing lead sheets for hundreds of standard tunes that has become an essential reference for jazz musicians.
-
A.
الكتاب
الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
-
B.
Buch
Buch is a locality in the Berlin borough of Pankow, known for its historic hospital complex and extensive green spaces on the northeastern edge of the city.
-
C.
Date Book
Date Book is a built-in personal information management application for Palm OS devices, used primarily for scheduling appointments and managing calendars.
-
D.
Buchs
Buchs is a municipality in the canton of St. Gallen in northeastern Switzerland, known as an industrial and commercial center near the Liechtenstein border.
-
E.
Book Fund
The Book Fund was a charitable initiative established to provide Christian literature and support to impoverished pastors and ministers.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b5bc688190bdfe3911ac6b2d76 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f898b59481909aa72291b24a4cd0 |
completed | May 13, 2026, 10:18 p.m. |
| NEDg | Description generation | batch_6a04fc705b3481908bea3e5f6ce33f1e |
completed | May 13, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04fcc66ddc819094d427390e7c3774 |
completed | May 13, 2026, 10:35 p.m. |
Created at: April 10, 2026, 11:44 a.m.