Triple
T1863581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relax |
E34869
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Brian Nash
Brian Nash is an author known for his work on the book "Relax."
|
E272592
|
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: Brian Nash | Statement: [Relax, writer, Brian Nash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Nash Context triple: [Relax, writer, Brian Nash]
-
A.
Brian Nash
Brian Nash is an English guitarist best known as a member of the 1980s pop band Frankie Goes to Hollywood.
-
B.
Ray Nitschke
Ray Nitschke was a legendary middle linebacker for the Green Bay Packers, renowned for his hard-hitting play and key role in Vince Lombardi’s championship teams.
-
C.
Kevin Nagle
Kevin Nagle is an American businessman and sports investor best known for leading the ownership of Sacramento Republic FC and advocating for Major League Soccer expansion in Sacramento.
-
D.
Kevin Chapman
Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
-
E.
John Bowers
John Bowers is a prominent American engineer and physicist renowned for his pioneering contributions to photonics and optoelectronics, particularly in the development of high-speed and energy-efficient optical communication technologies.
- 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: Brian Nash Triple: [Relax, writer, Brian Nash]
Generated description
Brian Nash is an author known for his work on the book "Relax."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Nash Target entity description: Brian Nash is an author known for his work on the book "Relax."
-
A.
Brian Nash
Brian Nash is an English guitarist best known as a member of the 1980s pop band Frankie Goes to Hollywood.
-
B.
Ray Nitschke
Ray Nitschke was a legendary middle linebacker for the Green Bay Packers, renowned for his hard-hitting play and key role in Vince Lombardi’s championship teams.
-
C.
Kevin Nagle
Kevin Nagle is an American businessman and sports investor best known for leading the ownership of Sacramento Republic FC and advocating for Major League Soccer expansion in Sacramento.
-
D.
Kevin Chapman
Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
-
E.
John Bowers
John Bowers is a prominent American engineer and physicist renowned for his pioneering contributions to photonics and optoelectronics, particularly in the development of high-speed and energy-efficient optical communication technologies.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb09f856c8190807a7cf2a5f49fcb |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f6cb97c8190bf6e8dbdcae3aabd |
completed | March 9, 2026, 7:28 p.m. |
| NEDg | Description generation | batch_69af201e1a748190905bb221fc5dd01e |
completed | March 9, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af20ad25588190b8e26e82baba731d |
completed | March 9, 2026, 7:34 p.m. |
Created at: March 4, 2026, 7:34 p.m.