Triple
T22091378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pretty Woman: The Musical (Broadway) |
E545920
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Happy Man
Happy Man is a cheerful, scene-stealing supporting character in the Broadway musical adaptation of "Pretty Woman."
|
E1519107
|
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: Happy Man | Statement: [Pretty Woman: The Musical (Broadway), featuresCharacter, Happy Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Man Context triple: [Pretty Woman: The Musical (Broadway), featuresCharacter, Happy Man]
-
A.
Die a Happy Man
"Die a Happy Man" is a romantic country ballad co-written by Sean Douglas that became a major hit for singer Thomas Rhett.
-
B.
Happy Haines
Happy Haines is a fictional character portrayed by actor Allan "Ladd" See, best known from his work in mid-20th-century American film and television.
-
C.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
D.
Die Happy
Die Happy is a Christian rock band known for its melodic hard rock sound and spiritually themed lyrics.
-
E.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
- 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: Happy Man Triple: [Pretty Woman: The Musical (Broadway), featuresCharacter, Happy Man]
Generated description
Happy Man is a cheerful, scene-stealing supporting character in the Broadway musical adaptation of "Pretty Woman."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Happy Man Target entity description: Happy Man is a cheerful, scene-stealing supporting character in the Broadway musical adaptation of "Pretty Woman."
-
A.
Die a Happy Man
"Die a Happy Man" is a romantic country ballad co-written by Sean Douglas that became a major hit for singer Thomas Rhett.
-
B.
Happy Haines
Happy Haines is a fictional character portrayed by actor Allan "Ladd" See, best known from his work in mid-20th-century American film and television.
-
C.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
D.
Die Happy
Die Happy is a Christian rock band known for its melodic hard rock sound and spiritually themed lyrics.
-
E.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e5edf08190a6743955bc872417 |
completed | April 28, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a879b9130819089f8e2b7106f875b |
completed | May 18, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_6a0a891eb0708190a4575a01f45b98aa |
completed | May 18, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a89977c8c8190a5c87d1c2b68ed48 |
completed | May 18, 2026, 3:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.