Triple
T16316161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lone Gunmen |
E396177
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Melvin Frohike
Melvin Frohike is a conspiracy-obsessed, tech-savvy hacker and member of the Lone Gunmen trio from The X-Files universe.
|
E1205336
|
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: Melvin Frohike | Statement: [The Lone Gunmen, mainCharacter, Melvin Frohike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melvin Frohike Context triple: [The Lone Gunmen, mainCharacter, Melvin Frohike]
-
A.
Michael Shayne
Michael Shayne is a hardboiled fictional private detective known from mid-20th-century American crime novels and their film and radio adaptations.
-
B.
Officer Bobby Hill
Officer Bobby Hill is a central police officer character from the television drama "Hill Street Blues," known for his streetwise demeanor and partnership with fellow officers in an urban precinct.
-
C.
Mike Dexter
Mike Dexter is the popular, arrogant high school jock and primary antagonist in the teen comedy film "Can’t Hardly Wait."
-
D.
Officer Powell
Officer Powell is a fictional police officer character portrayed by actor Rob Morgan.
-
E.
James "Sonny" Crockett
James "Sonny" Crockett is the stylish undercover Miami detective and central protagonist of the 1980s television series "Miami Vice."
- 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: Melvin Frohike Triple: [The Lone Gunmen, mainCharacter, Melvin Frohike]
Generated description
Melvin Frohike is a conspiracy-obsessed, tech-savvy hacker and member of the Lone Gunmen trio from The X-Files universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melvin Frohike Target entity description: Melvin Frohike is a conspiracy-obsessed, tech-savvy hacker and member of the Lone Gunmen trio from The X-Files universe.
-
A.
Michael Shayne
Michael Shayne is a hardboiled fictional private detective known from mid-20th-century American crime novels and their film and radio adaptations.
-
B.
Officer Bobby Hill
Officer Bobby Hill is a central police officer character from the television drama "Hill Street Blues," known for his streetwise demeanor and partnership with fellow officers in an urban precinct.
-
C.
Mike Dexter
Mike Dexter is the popular, arrogant high school jock and primary antagonist in the teen comedy film "Can’t Hardly Wait."
-
D.
Officer Powell
Officer Powell is a fictional police officer character portrayed by actor Rob Morgan.
-
E.
James "Sonny" Crockett
James "Sonny" Crockett is the stylish undercover Miami detective and central protagonist of the 1980s television series "Miami Vice."
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b1e9988190a1dce9f1ed7031df |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa9f6dc81908e6cbb4e340356e1 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a002085bcf08190b60f8d864f2c0f24 |
completed | May 10, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00217ff2ec81909bb0fd0dd775a0ae |
completed | May 10, 2026, 6:11 a.m. |
Created at: April 10, 2026, 5:06 a.m.