Triple
T2216373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marv Films |
E48040
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
MARV
MARV is a British film and television production company founded by producer Matthew Vaughn, known for movies such as "Kick-Ass," "Kingsman," and "Layer Cake."
|
E244893
|
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: MARV | Statement: [Marv Films, alternateName, MARV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MARV Context triple: [Marv Films, alternateName, MARV]
-
A.
Joe Robot
"Joe Robot" is a song by the band The Network, known for its synth-driven, new wave punk style and satirical, futuristic themes.
-
B.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
C.
Cyborg
Cyborg is a prominent DC Comics superhero, best known as a technologically enhanced human and key member of teams like the Teen Titans and the Justice League.
-
D.
Wheatley
Wheatley is a small community in southwestern Ontario, Canada, known for its proximity to Lake Erie and Wheatley Provincial Park.
-
E.
Kismet
Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
- 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: MARV Triple: [Marv Films, alternateName, MARV]
Generated description
MARV is a British film and television production company founded by producer Matthew Vaughn, known for movies such as "Kick-Ass," "Kingsman," and "Layer Cake."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MARV Target entity description: MARV is a British film and television production company founded by producer Matthew Vaughn, known for movies such as "Kick-Ass," "Kingsman," and "Layer Cake."
-
A.
Joe Robot
"Joe Robot" is a song by the band The Network, known for its synth-driven, new wave punk style and satirical, futuristic themes.
-
B.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
C.
Cyborg
Cyborg is a prominent DC Comics superhero, best known as a technologically enhanced human and key member of teams like the Teen Titans and the Justice League.
-
D.
Wheatley
Wheatley is a small community in southwestern Ontario, Canada, known for its proximity to Lake Erie and Wheatley Provincial Park.
-
E.
Kismet
Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc00f4c3881909d03301fcdfa8b67 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65594c948190a43bdab03e61c130 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65e191f88190a08f96e8ba5f71bb |
completed | March 9, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66590480819093de9e9abf681a6a |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.