Triple
T8739998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procol Harum |
E207475
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Chris Cooke
Chris Cooke is a musician known for being a member of the British rock band Procol Harum.
|
E755837
|
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: Chris Cooke | Statement: [Procol Harum, hasMember, Chris Cooke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Cooke Context triple: [Procol Harum, hasMember, Chris Cooke]
-
A.
Christian Cooke
Christian Cooke is an English actor known for his roles in film and television, including prominent parts in British dramas and comedies.
-
B.
Bill Mitchell
Bill Mitchell was a prominent American automobile designer and General Motors styling chief known for shaping many iconic mid-20th-century cars.
-
C.
Andrew Morgan
Andrew Morgan is a filmmaker best known for directing the documentary "The True Cost," which examines the global impact of the fast fashion industry.
-
D.
Mark Brazill
Mark Brazill is an American television writer and producer best known for co-creating the hit sitcom That '70s Show.
-
E.
Andrew Gunn
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney films.
- 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: Chris Cooke Triple: [Procol Harum, hasMember, Chris Cooke]
Generated description
Chris Cooke is a musician known for being a member of the British rock band Procol Harum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Cooke Target entity description: Chris Cooke is a musician known for being a member of the British rock band Procol Harum.
-
A.
Christian Cooke
Christian Cooke is an English actor known for his roles in film and television, including prominent parts in British dramas and comedies.
-
B.
Bill Mitchell
Bill Mitchell was a prominent American automobile designer and General Motors styling chief known for shaping many iconic mid-20th-century cars.
-
C.
Andrew Morgan
Andrew Morgan is a filmmaker best known for directing the documentary "The True Cost," which examines the global impact of the fast fashion industry.
-
D.
Mark Brazill
Mark Brazill is an American television writer and producer best known for co-creating the hit sitcom That '70s Show.
-
E.
Andrew Gunn
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney films.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d486e34819094a6c6ec26c047cf |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42e7176c819097e313ed8e8ceb06 |
completed | April 3, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69cf43ead588819094089bea94c27207 |
completed | April 3, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf453fa3e4819082466c59649c2f35 |
completed | April 3, 2026, 4:42 a.m. |
Created at: March 30, 2026, 6:38 p.m.