Triple
T3112615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Time to Love |
E64984
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Hubert Laws
Hubert Laws is an acclaimed American flutist known for his virtuosic blend of jazz, classical, and pop music.
|
E327588
|
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: Hubert Laws | Statement: [A Time to Love, featuresArtist, Hubert Laws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hubert Laws Context triple: [A Time to Love, featuresArtist, Hubert Laws]
-
A.
Mitch Henderson
Mitch Henderson is an American college basketball coach best known for leading the Princeton University men’s basketball program.
-
B.
Mitch Henderson
Mitch Henderson is the NASA flight director in Andy Weir’s science fiction novel "The Martian," known for his determination to rescue stranded astronaut Mark Watney.
-
C.
Ray Brown
Ray Brown was an acclaimed American jazz double bassist known for his work with the Oscar Peterson Trio and collaborations with many leading jazz artists.
-
D.
Al Jarreau
Al Jarreau was an American jazz and R&B singer renowned for his versatile vocal style and multiple Grammy Award-winning career.
-
E.
Craig Carter
Craig Carter is a fictional character appearing in the classic American television sitcom "Here's Lucy."
- 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: Hubert Laws Triple: [A Time to Love, featuresArtist, Hubert Laws]
Generated description
Hubert Laws is an acclaimed American flutist known for his virtuosic blend of jazz, classical, and pop music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hubert Laws Target entity description: Hubert Laws is an acclaimed American flutist known for his virtuosic blend of jazz, classical, and pop music.
-
A.
Mitch Henderson
Mitch Henderson is an American college basketball coach best known for leading the Princeton University men’s basketball program.
-
B.
Mitch Henderson
Mitch Henderson is the NASA flight director in Andy Weir’s science fiction novel "The Martian," known for his determination to rescue stranded astronaut Mark Watney.
-
C.
Ray Brown
Ray Brown was an acclaimed American jazz double bassist known for his work with the Oscar Peterson Trio and collaborations with many leading jazz artists.
-
D.
Al Jarreau
Al Jarreau was an American jazz and R&B singer renowned for his versatile vocal style and multiple Grammy Award-winning career.
-
E.
Craig Carter
Craig Carter is a fictional character appearing in the classic American television sitcom "Here's Lucy."
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43b0b3c8190a828c9cfcf730ed9 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20397cbdc8190abdd93b502f9577f |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204a8c5348190a2cb102b08fd6fa5 |
completed | March 12, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205bdf5c881908bc6ef7c3c30df65 |
completed | March 12, 2026, 12:15 a.m. |
Created at: March 8, 2026, 3:04 p.m.