Triple
T16810577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Nanny |
E408596
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Sean Armstrong
Sean Armstrong is the tough but good-hearted ex-wrestler protagonist of the 1993 family comedy film "Mr. Nanny," played by Hulk Hogan.
|
E1234465
|
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: Sean Armstrong | Statement: [Mr. Nanny, hasMainCharacter, Sean Armstrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Armstrong Context triple: [Mr. Nanny, hasMainCharacter, Sean Armstrong]
-
A.
Scott Armstrong
Scott Armstrong is an American journalist and author known for his investigative reporting and coauthoring influential books on U.S. government and the Supreme Court.
-
B.
Bill Armstrong
Bill Armstrong is an NHL executive best known as the general manager responsible for overseeing hockey operations and roster decisions for the Arizona Coyotes.
-
C.
Billy Armstrong
Billy Armstrong was a British-born silent film comedian and actor known for his work in early 20th-century cinema, including appearances in comedy shorts.
-
D.
Jay Martin
Jay Martin is a music video director known for helming visual projects for popular songs and artists.
-
E.
Luke Armstrong
Luke Armstrong is the son of former professional cyclist Lance Armstrong.
- 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: Sean Armstrong Triple: [Mr. Nanny, hasMainCharacter, Sean Armstrong]
Generated description
Sean Armstrong is the tough but good-hearted ex-wrestler protagonist of the 1993 family comedy film "Mr. Nanny," played by Hulk Hogan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean Armstrong Target entity description: Sean Armstrong is the tough but good-hearted ex-wrestler protagonist of the 1993 family comedy film "Mr. Nanny," played by Hulk Hogan.
-
A.
Scott Armstrong
Scott Armstrong is an American journalist and author known for his investigative reporting and coauthoring influential books on U.S. government and the Supreme Court.
-
B.
Bill Armstrong
Bill Armstrong is an NHL executive best known as the general manager responsible for overseeing hockey operations and roster decisions for the Arizona Coyotes.
-
C.
Billy Armstrong
Billy Armstrong was a British-born silent film comedian and actor known for his work in early 20th-century cinema, including appearances in comedy shorts.
-
D.
Jay Martin
Jay Martin is a music video director known for helming visual projects for popular songs and artists.
-
E.
Luke Armstrong
Luke Armstrong is the son of former professional cyclist Lance Armstrong.
- 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.