Triple
T15071950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Void Moon |
E379897
|
entity |
| Predicate | coverArtist |
P184
|
FINISHED |
| Object |
Phil Rose
Phil Rose is an artist known for creating cover artwork, including the cover for Michael Connelly’s novel "Void Moon."
|
E1134754
|
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: Phil Rose | Statement: [Void Moon, coverArtist, Phil Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Rose Context triple: [Void Moon, coverArtist, Phil Rose]
-
A.
Leon Rose
Leon Rose is an American sports executive and former player agent who serves as the president of basketball operations for the New York Knicks in the NBA.
-
B.
Phil Rosen
Phil Rosen was an early 20th-century American film director and cinematographer who helped shape the development of Hollywood’s visual style.
-
C.
Mike Richards
Mike Richards is a Canadian former professional ice hockey centre best known for his Stanley Cup–winning tenure with the Los Angeles Kings and earlier success with the Philadelphia Flyers.
-
D.
William Nack
William Nack was an American sportswriter and author best known for his definitive biography of the racehorse Secretariat.
-
E.
Randy Fenoli
Randy Fenoli is a fashion designer and television personality best known as the charismatic bridal consultant and expert on the TLC reality series "Say Yes to the Dress."
- 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: Phil Rose Triple: [Void Moon, coverArtist, Phil Rose]
Generated description
Phil Rose is an artist known for creating cover artwork, including the cover for Michael Connelly’s novel "Void Moon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phil Rose Target entity description: Phil Rose is an artist known for creating cover artwork, including the cover for Michael Connelly’s novel "Void Moon."
-
A.
Leon Rose
Leon Rose is an American sports executive and former player agent who serves as the president of basketball operations for the New York Knicks in the NBA.
-
B.
Phil Rosen
Phil Rosen was an early 20th-century American film director and cinematographer who helped shape the development of Hollywood’s visual style.
-
C.
Mike Richards
Mike Richards is a Canadian former professional ice hockey centre best known for his Stanley Cup–winning tenure with the Los Angeles Kings and earlier success with the Philadelphia Flyers.
-
D.
William Nack
William Nack was an American sportswriter and author best known for his definitive biography of the racehorse Secretariat.
-
E.
Randy Fenoli
Randy Fenoli is a fashion designer and television personality best known as the charismatic bridal consultant and expert on the TLC reality series "Say Yes to the Dress."
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7f86df48190b3a2cf441fefb477 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cff69c8190b6252509c1aa7ebb |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea6bf2558819082fc91fe8df6f3f5 |
completed | May 9, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea8018a088190b6eba72a7e6196b2 |
completed | May 9, 2026, 3:20 a.m. |
Created at: April 10, 2026, 3:02 a.m.