Triple
T17185916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Could Live in Hope |
E417107
|
entity |
| Predicate | performerMember |
P22076
|
FINISHED |
| Object |
John Nichols
John Nichols is a musician known for his role in performing on the influential slowcore album "I Could Live in Hope."
|
E1256355
|
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: John Nichols | Statement: [I Could Live in Hope, performerMember, John Nichols]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Nichols Context triple: [I Could Live in Hope, performerMember, John Nichols]
-
A.
John Nichols
John Nichols is an American journalist and author known for his progressive political commentary and work with The Nation magazine.
-
B.
John Nichols
John Nichols is an American novelist best known for works such as "The Sterile Cuckoo" and his politically charged "New Mexico Trilogy."
-
C.
John Nichols
John Nichols is an American local politician serving as the mayor of College Station, Texas.
-
D.
David Brock
David Brock is an American political operative and media figure known for his transformation from conservative journalist to prominent liberal activist and founder of the media watchdog group Media Matters for America.
-
E.
Tom Reese
Tom Reese was an American character actor known for his tough-guy roles in numerous Westerns and television series from the 1950s through the 1980s.
- 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: John Nichols Triple: [I Could Live in Hope, performerMember, John Nichols]
Generated description
John Nichols is a musician known for his role in performing on the influential slowcore album "I Could Live in Hope."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Nichols Target entity description: John Nichols is a musician known for his role in performing on the influential slowcore album "I Could Live in Hope."
-
A.
John Nichols
John Nichols is an American local politician serving as the mayor of College Station, Texas.
-
B.
John Nichols
John Nichols is an American journalist and author known for his progressive political commentary and work with The Nation magazine.
-
C.
John Nichols
John Nichols is an American novelist best known for works such as "The Sterile Cuckoo" and his politically charged "New Mexico Trilogy."
-
D.
David Brock
David Brock is an American political operative and media figure known for his transformation from conservative journalist to prominent liberal activist and founder of the media watchdog group Media Matters for America.
-
E.
Tom Reese
Tom Reese was an American character actor known for his tough-guy roles in numerous Westerns and television series from the 1950s through the 1980s.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016184e0c0819099320b32bc471cad |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162692420819097b99a71ec470861 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:37 a.m.