Triple
T18094807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurel Canyon: A Place in Time |
E433055
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Paul Pilot
Paul Pilot is a composer and musician known for his work on film and television scores, including the documentary "Laurel Canyon: A Place in Time."
|
E1305818
|
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: Paul Pilot | Statement: [Laurel Canyon: A Place in Time, composer, Paul Pilot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Pilot Context triple: [Laurel Canyon: A Place in Time, composer, Paul Pilot]
-
A.
Paul Blanchard
Paul Blanchard is a notable individual recognized for bearing the surname Blanchard.
-
B.
Paul Ryder
Paul Ryder was an English musician best known as the bassist and founding member of the influential Madchester band Happy Mondays.
-
C.
Jean-Pierre Haigneré
Jean-Pierre Haigneré is a French Air Force officer and former CNES astronaut who flew on multiple Soyuz missions to the Mir space station and the International Space Station.
-
D.
Paul Vaudrey
Paul Vaudrey was an architect best known for designing the Pont au Change bridge in Paris.
-
E.
Paul Meurice
Paul Meurice was a 19th-century French novelist and playwright, closely associated with Victor Hugo and known for his contributions to Romantic literature and theater.
- 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: Paul Pilot Triple: [Laurel Canyon: A Place in Time, composer, Paul Pilot]
Generated description
Paul Pilot is a composer and musician known for his work on film and television scores, including the documentary "Laurel Canyon: A Place in Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Pilot Target entity description: Paul Pilot is a composer and musician known for his work on film and television scores, including the documentary "Laurel Canyon: A Place in Time."
-
A.
Paul Blanchard
Paul Blanchard is a notable individual recognized for bearing the surname Blanchard.
-
B.
Paul Ryder
Paul Ryder was an English musician best known as the bassist and founding member of the influential Madchester band Happy Mondays.
-
C.
Jean-Pierre Haigneré
Jean-Pierre Haigneré is a French Air Force officer and former CNES astronaut who flew on multiple Soyuz missions to the Mir space station and the International Space Station.
-
D.
Paul Vaudrey
Paul Vaudrey was an architect best known for designing the Pont au Change bridge in Paris.
-
E.
Paul Meurice
Paul Meurice was a 19th-century French novelist and playwright, closely associated with Victor Hugo and known for his contributions to Romantic literature and theater.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1b670081908e1e1083436da04e |
completed | April 19, 2026, 1:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d9f808c81909352344ab5d3e672 |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036187ba808190a0e1964a09f652a7 |
completed | May 12, 2026, 5:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a036213f46881908c5d7d5468f4f6b3 |
completed | May 12, 2026, 5:23 p.m. |
Created at: April 10, 2026, 10:27 a.m.