Triple
T18421416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Leaves |
E442031
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Jim Pons
Jim Pons is an American bass guitarist best known for his work with 1960s rock bands including The Leaves, The Turtles, and later Frank Zappa’s Mothers of Invention.
|
E1323271
|
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: Jim Pons | Statement: [The Leaves, member, Jim Pons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Pons Context triple: [The Leaves, member, Jim Pons]
-
A.
René Donnio
René Donnio was an actor known for appearing in early 20th-century French cinema, including the 1935 film "Princesse Tam-Tam."
-
B.
Jacques Cruppi
Jacques Cruppi was a French lawyer, politician, and art patron active in the late 19th and early 20th centuries.
-
C.
Guy Billout
Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
-
D.
Rod La Rocque
Rod La Rocque was an American film actor prominent during the silent and early sound eras, known for his suave leading-man roles in Hollywood productions.
-
E.
Jean-Claude Arnaud
Jean-Claude Arnaud is an actor known for his role in the French drama film "I've Loved You So Long."
- 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: Jim Pons Triple: [The Leaves, member, Jim Pons]
Generated description
Jim Pons is an American bass guitarist best known for his work with 1960s rock bands including The Leaves, The Turtles, and later Frank Zappa’s Mothers of Invention.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Pons Target entity description: Jim Pons is an American bass guitarist best known for his work with 1960s rock bands including The Leaves, The Turtles, and later Frank Zappa’s Mothers of Invention.
-
A.
René Donnio
René Donnio was an actor known for appearing in early 20th-century French cinema, including the 1935 film "Princesse Tam-Tam."
-
B.
Jacques Cruppi
Jacques Cruppi was a French lawyer, politician, and art patron active in the late 19th and early 20th centuries.
-
C.
Guy Billout
Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
-
D.
Rod La Rocque
Rod La Rocque was an American film actor prominent during the silent and early sound eras, known for his suave leading-man roles in Hollywood productions.
-
E.
Jean-Claude Arnaud
Jean-Claude Arnaud is an actor known for his role in the French drama film "I've Loved You So Long."
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2be6bc8190b2812f77ff4cc960 |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0a7e788819080ab4b25f489726e |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1e4007c8190b84dbbf7e3afcc80 |
completed | May 13, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f25e93bc8190910ce6037dc1bcea |
completed | May 13, 2026, 3:39 a.m. |
Created at: April 10, 2026, 10:47 a.m.