Triple
T3094745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Book of Joy |
E64566
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Avery
Avery is a publishing imprint known for releasing popular nonfiction books on topics such as health, psychology, and personal growth.
|
E326811
|
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: Avery | Statement: [The Book of Joy, publisher, Avery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avery Context triple: [The Book of Joy, publisher, Avery]
-
A.
Avery
Avery is the middle name of famed Canadian World War I flying ace Billy Bishop.
-
B.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
C.
Macy
Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
-
D.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
-
E.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
- 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: Avery Triple: [The Book of Joy, publisher, Avery]
Generated description
Avery is a publishing imprint known for releasing popular nonfiction books on topics such as health, psychology, and personal growth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avery Target entity description: Avery is a publishing imprint known for releasing popular nonfiction books on topics such as health, psychology, and personal growth.
-
A.
Avery
Avery is the middle name of famed Canadian World War I flying ace Billy Bishop.
-
B.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
C.
Macy
Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
-
D.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
-
E.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada239a8c88190a746892b56ee7e02 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20370aba48190a31ec25bca0a4727 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2046f76488190adef6685544b080e |
completed | March 12, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2054bca388190ad40b2303ac96373 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:03 p.m.