Triple
T14553284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blueprints for the Black Market |
E341473
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Cadence
Cadence is a character or narrative element featured within the game "Blueprints for the Black Market."
|
E1107145
|
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: Cadence | Statement: [Blueprints for the Black Market, hasPart, Cadence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cadence Context triple: [Blueprints for the Black Market, hasPart, Cadence]
-
A.
Cadence13
Cadence13 is a prominent podcast production and distribution company known for creating and monetizing popular audio content across a wide range of genres.
-
B.
Fairlight
Fairlight is a coastal village in East Sussex, England, known for its scenic cliffs, countryside, and proximity to Hastings.
-
C.
Maynard
Maynard is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and politics.
-
D.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
E.
Delphy
Delphy is a leading Dutch knowledge and consultancy organization specializing in innovation and practical expertise for greenhouse horticulture and related agricultural sectors.
- 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: Cadence Triple: [Blueprints for the Black Market, hasPart, Cadence]
Generated description
Cadence is a character or narrative element featured within the game "Blueprints for the Black Market."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cadence Target entity description: Cadence is a character or narrative element featured within the game "Blueprints for the Black Market."
-
A.
Cadence13
Cadence13 is a prominent podcast production and distribution company known for creating and monetizing popular audio content across a wide range of genres.
-
B.
Fairlight
Fairlight is a coastal village in East Sussex, England, known for its scenic cliffs, countryside, and proximity to Hastings.
-
C.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
D.
Maynard
Maynard is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and politics.
-
E.
Delphy
Delphy is a leading Dutch knowledge and consultancy organization specializing in innovation and practical expertise for greenhouse horticulture and related agricultural sectors.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab7d698819085fd81d7b6f96317 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b8566cc81908c5cecefb5d71e63 |
completed | May 8, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8e8c320c8190b08af08226e50622 |
completed | May 8, 2026, 7:19 a.m. |
Created at: April 10, 2026, 1:23 a.m.