Triple
T18401122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man from Hong Kong |
E449996
|
entity |
| Predicate | hasThemeSong |
P7259
|
FINISHED |
| Object |
Sky High
"Sky High" is a 1975 disco-influenced pop song by British band Jigsaw, best known internationally for its use as the theme song to the action film *The Man from Hong Kong*.
|
E1322450
|
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: Sky High | Statement: [The Man from Hong Kong, hasThemeSong, Sky High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky High Context triple: [The Man from Hong Kong, hasThemeSong, Sky High]
-
A.
Sky High
Sky High is a 2005 family-friendly superhero comedy film about a high school for teenage heroes, starring Kurt Russell.
-
B.
So High School
"So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
-
C.
Mad High
"Mad High" is a track by 21 Savage and Metro Boomin from their collaborative trap album *Savage Mode*.
-
D.
Britannia High
Britannia High is a British musical drama television series centered on the lives and ambitions of students at a performing arts school.
-
E.
Kooley High
Kooley High is a North Carolina-based hip hop group known for its soulful, jazz-influenced sound and for helping launch the career of rapper Rapsody.
- 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: Sky High Triple: [The Man from Hong Kong, hasThemeSong, Sky High]
Generated description
"Sky High" is a 1975 disco-influenced pop song by British band Jigsaw, best known internationally for its use as the theme song to the action film *The Man from Hong Kong*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sky High Target entity description: "Sky High" is a 1975 disco-influenced pop song by British band Jigsaw, best known internationally for its use as the theme song to the action film *The Man from Hong Kong*.
-
A.
Sky High
Sky High is a 2005 family-friendly superhero comedy film about a high school for teenage heroes, starring Kurt Russell.
-
B.
So High School
"So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
-
C.
Mad High
"Mad High" is a track by 21 Savage and Metro Boomin from their collaborative trap album *Savage Mode*.
-
D.
Britannia High
Britannia High is a British musical drama television series centered on the lives and ambitions of students at a performing arts school.
-
E.
Kooley High
Kooley High is a North Carolina-based hip hop group known for its soulful, jazz-influenced sound and for helping launch the career of rapper Rapsody.
- F. None of above.
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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5195185b08190bd3b5471cdc047b0 |
completed | April 19, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e24442588190bbf9aec47467c381 |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e38041e08190953c98c4d79ad1eb |
completed | May 13, 2026, 2:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e3f0f8b081908172ed48ab890d4f |
completed | May 13, 2026, 2:37 a.m. |
Created at: April 10, 2026, 10:46 a.m.