Triple
T6953867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Trek novels |
E161191
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object |
Greg Cox
Greg Cox is a science fiction author best known for his numerous tie-in novels set in the Star Trek universe and other popular franchises.
|
E632072
|
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: Greg Cox | Statement: [Star Trek novels, hasContributor, Greg Cox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Cox Context triple: [Star Trek novels, hasContributor, Greg Cox]
-
A.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
-
B.
Sean F. Cox
Sean F. Cox is an American federal judge who serves as the chief judge of the United States District Court for the Eastern District of Michigan.
-
C.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
D.
Ryan Crocker
Ryan Crocker is a veteran American diplomat and former U.S. ambassador to multiple Middle Eastern countries, noted for his key role in U.S. foreign policy in the region.
-
E.
Jeff Cox
Jeff Cox is an American screenwriter best known for co-writing the comedy film "Blades of Glory."
- 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: Greg Cox Triple: [Star Trek novels, hasContributor, Greg Cox]
Generated description
Greg Cox is a science fiction author best known for his numerous tie-in novels set in the Star Trek universe and other popular franchises.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Cox Target entity description: Greg Cox is a science fiction author best known for his numerous tie-in novels set in the Star Trek universe and other popular franchises.
-
A.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
-
B.
Sean F. Cox
Sean F. Cox is an American federal judge who serves as the chief judge of the United States District Court for the Eastern District of Michigan.
-
C.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
D.
Ryan Crocker
Ryan Crocker is a veteran American diplomat and former U.S. ambassador to multiple Middle Eastern countries, noted for his key role in U.S. foreign policy in the region.
-
E.
Jeff Cox
Jeff Cox is an American screenwriter best known for co-writing the comedy film "Blades of Glory."
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7587ee1b08190b9f53ab7df4a4a58 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c75a8998308190b99a11d5aaf7436b |
completed | March 28, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75afddbf88190884d98e4b8a0c9eb |
completed | March 28, 2026, 4:37 a.m. |
Created at: March 27, 2026, 2:29 p.m.