Triple
T21986323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood Money |
E542970
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ervin Pope
Ervin Pope is a music producer best known for his work on the album "Blood Money."
|
E1511742
|
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: Ervin Pope | Statement: [Blood Money, producer, Ervin Pope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ervin Pope Context triple: [Blood Money, producer, Ervin Pope]
-
A.
Bill Erwin
Bill Erwin was an American character actor best known for his prolific work in film and television, including memorable roles in productions like "Somewhere in Time" and "Seinfeld."
-
B.
Ward Poulos
Ward Poulos is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
-
C.
Roland Wilson
Roland Wilson is a central character in the sitcom "The Golden Palace," known for his role in the ensemble that continues the story of the original "Golden Girls" cast.
-
D.
Bill Raisch
Bill Raisch was an American character actor and dancer best known for playing the one-armed man in the television series "The Fugitive."
-
E.
Ralph Miller
Ralph Miller was a Royal Navy officer who served under Admiral Horatio Nelson during the Napoleonic Wars, participating in key naval engagements of the era.
- 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: Ervin Pope Triple: [Blood Money, producer, Ervin Pope]
Generated description
Ervin Pope is a music producer best known for his work on the album "Blood Money."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ervin Pope Target entity description: Ervin Pope is a music producer best known for his work on the album "Blood Money."
-
A.
Bill Erwin
Bill Erwin was an American character actor best known for his prolific work in film and television, including memorable roles in productions like "Somewhere in Time" and "Seinfeld."
-
B.
Ward Poulos
Ward Poulos is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
-
C.
Roland Wilson
Roland Wilson is a central character in the sitcom "The Golden Palace," known for his role in the ensemble that continues the story of the original "Golden Girls" cast.
-
D.
Bill Raisch
Bill Raisch was an American character actor and dancer best known for playing the one-armed man in the television series "The Fugitive."
-
E.
Ralph Miller
Ralph Miller was a Royal Navy officer who served under Admiral Horatio Nelson during the Napoleonic Wars, participating in key naval engagements of the era.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12709cb288190a2620e337fea364c |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d7d735081909b86cafe3bc85186 |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e3690e88190a8cabaa29a84799e |
completed | May 18, 2026, 1:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ea775988190865a406893a467cc |
completed | May 18, 2026, 1:43 a.m. |
Created at: April 16, 2026, 8:04 p.m.