Triple
T23477607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numb3rs |
E570307
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Colby Granger
Colby Granger is a fictional FBI agent and former Army Ranger who serves as a main character on the crime drama television series "Numb3rs."
|
E1588039
|
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: Colby Granger | Statement: [Numb3rs, character, Colby Granger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colby Granger Context triple: [Numb3rs, character, Colby Granger]
-
A.
Colby Chandler
Colby Chandler is a fictional character from the soap opera "All My Children," known as a member of the influential Chandler family.
-
B.
Colby Armstrong
Colby Armstrong is a Canadian former professional ice hockey winger who played in the NHL and later became a television analyst.
-
C.
Colby Donaldson
Colby Donaldson is an American television personality and actor best known as a three-time contestant on the reality series "Survivor."
-
D.
Tanner Buchanan
Tanner Buchanan is an American actor best known for his roles in the series "Cobra Kai" and various film and television projects.
-
E.
Peyton Sawyer
Peyton Sawyer is a central character from the television series "One Tree Hill," known as a brooding, artistic cheerleader with a passion for music and complex relationships.
- 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: Colby Granger Triple: [Numb3rs, character, Colby Granger]
Generated description
Colby Granger is a fictional FBI agent and former Army Ranger who serves as a main character on the crime drama television series "Numb3rs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colby Granger Target entity description: Colby Granger is a fictional FBI agent and former Army Ranger who serves as a main character on the crime drama television series "Numb3rs."
-
A.
Colby Chandler
Colby Chandler is a fictional character from the soap opera "All My Children," known as a member of the influential Chandler family.
-
B.
Colby Armstrong
Colby Armstrong is a Canadian former professional ice hockey winger who played in the NHL and later became a television analyst.
-
C.
Colby Donaldson
Colby Donaldson is an American television personality and actor best known as a three-time contestant on the reality series "Survivor."
-
D.
Tanner Buchanan
Tanner Buchanan is an American actor best known for his roles in the series "Cobra Kai" and various film and television projects.
-
E.
Peyton Sawyer
Peyton Sawyer is a central character from the television series "One Tree Hill," known as a brooding, artistic cheerleader with a passion for music and complex relationships.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8263ec988190b4f86f4bc283d929 |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6f06a348190bfdba0452077f45b |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7bdf7f08190b50191b029480fc5 |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 6:02 p.m.