Triple
T15794181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Life Imitates Chess |
E382933
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Bloomsbury
Bloomsbury is a British independent publishing house best known for releasing the Harry Potter series and a wide range of literary and academic works.
|
E1177649
|
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: Bloomsbury | Statement: [How Life Imitates Chess, publisher, Bloomsbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloomsbury Context triple: [How Life Imitates Chess, publisher, Bloomsbury]
-
A.
Bloomsbury
Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
-
B.
Camden House
Camden House is a teaching and administrative building that forms part of the University College Birmingham city-centre campus.
-
C.
Bodley Head
Bodley Head is a British publishing house known for its literary fiction, non-fiction, and classic works.
-
D.
Melbourne House
Melbourne House was a prominent London townhouse associated with British high society and political life in the late 18th and early 19th centuries.
-
E.
Blackwell
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
- 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: Bloomsbury Triple: [How Life Imitates Chess, publisher, Bloomsbury]
Generated description
Bloomsbury is a British independent publishing house best known for releasing the Harry Potter series and a wide range of literary and academic works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bloomsbury Target entity description: Bloomsbury is a British independent publishing house best known for releasing the Harry Potter series and a wide range of literary and academic works.
-
A.
Bloomsbury
Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
-
B.
Camden House
Camden House is a teaching and administrative building that forms part of the University College Birmingham city-centre campus.
-
C.
Bodley Head
Bodley Head is a British publishing house known for its literary fiction, non-fiction, and classic works.
-
D.
Melbourne House
Melbourne House was a prominent London townhouse associated with British high society and political life in the late 18th and early 19th centuries.
-
E.
Blackwell
Blackwell is a surname of English origin borne by numerous notable individuals across fields such as music, politics, and academia.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4db55308190875a04f982c44cea |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90ab23048190a6d976c9a3143647 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff93c259e481908d419c101512c140 |
completed | May 9, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9458a1388190bfb2b1ecbbf5ebdd |
completed | May 9, 2026, 8:08 p.m. |
Created at: April 10, 2026, 4:48 a.m.