Triple
T16810581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Nanny |
E408596
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Frank Mason
Frank Mason is the tough but good-hearted ex-wrestler protagonist of the 1993 family comedy film "Mr. Nanny," portrayed by Hulk Hogan.
|
E1234468
|
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: Frank Mason | Statement: [Mr. Nanny, hasMainCharacter, Frank Mason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Mason Context triple: [Mr. Nanny, hasMainCharacter, Frank Mason]
-
A.
Anthony Mason
Anthony Mason was a rugged, versatile forward best known for his physical defense, ball-handling, and key role on the mid-1990s New York Knicks.
-
B.
Charles Alverson
Charles Alverson was an American writer and editor best known for his work in speculative fiction and his collaborations with Terry Gilliam on film projects.
-
C.
Maye
Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
-
D.
Thomas Robinson
Thomas Robinson was the son of Irish astronomer and physicist John Thomas Romney Robinson.
-
E.
Thomas Robinson
Thomas Robinson is an American child actor best known for his role in the comedy film "The Switch."
- 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: Frank Mason Triple: [Mr. Nanny, hasMainCharacter, Frank Mason]
Generated description
Frank Mason is the tough but good-hearted ex-wrestler protagonist of the 1993 family comedy film "Mr. Nanny," portrayed by Hulk Hogan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frank Mason Target entity description: Frank Mason is the tough but good-hearted ex-wrestler protagonist of the 1993 family comedy film "Mr. Nanny," portrayed by Hulk Hogan.
-
A.
Anthony Mason
Anthony Mason was a rugged, versatile forward best known for his physical defense, ball-handling, and key role on the mid-1990s New York Knicks.
-
B.
Charles Alverson
Charles Alverson was an American writer and editor best known for his work in speculative fiction and his collaborations with Terry Gilliam on film projects.
-
C.
Maye
Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
-
D.
Thomas Robinson
Thomas Robinson was the son of Irish astronomer and physicist John Thomas Romney Robinson.
-
E.
Thomas Robinson
Thomas Robinson is an American child actor best known for his role in the comedy film "The Switch."
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cf680c8190bcd640570c524918 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b290d8e4819082880444b42ffa43 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b33f21a48190b3178aa1241bb85a |
completed | May 10, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b3afb3708190ab7d78561a2e778c |
completed | May 10, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:23 a.m.