Triple
T23391703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5 Star |
E594035
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Mr. Boomtown
Mr. Boomtown is a prominent music video director known for his visually striking work in the hip-hop and rap genres.
|
E1584500
|
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: Mr. Boomtown | Statement: [5 Star, musicVideoDirector, Mr. Boomtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Boomtown Context triple: [5 Star, musicVideoDirector, Mr. Boomtown]
-
A.
Boom Town
Boom Town is a 1940 American drama film about rival wildcat oil drillers, starring Clark Gable alongside Spencer Tracy, Claudette Colbert, and Hedy Lamarr.
-
B.
Boom Town
"Boom Town" is a 2005 episode of the British science fiction television series Doctor Who, featuring the Ninth Doctor confronting a surviving Slitheen in modern-day Cardiff.
-
C.
Boomtown
Boomtown is a critically acclaimed 1986 debut album by American singer-songwriter David Baerwald, known for its dark, literate take on life in Reagan-era Los Angeles.
-
D.
Boomtown
"Boomtown" is a song featured on the bluegrass album "Tell the Ones I Love" by the Steep Canyon Rangers.
-
E.
Boomtown
Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
- 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: Mr. Boomtown Triple: [5 Star, musicVideoDirector, Mr. Boomtown]
Generated description
Mr. Boomtown is a prominent music video director known for his visually striking work in the hip-hop and rap genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Boomtown Target entity description: Mr. Boomtown is a prominent music video director known for his visually striking work in the hip-hop and rap genres.
-
A.
Boom Town
Boom Town is a 1940 American drama film about rival wildcat oil drillers, starring Clark Gable alongside Spencer Tracy, Claudette Colbert, and Hedy Lamarr.
-
B.
Boom Town
"Boom Town" is a 2005 episode of the British science fiction television series Doctor Who, featuring the Ninth Doctor confronting a surviving Slitheen in modern-day Cardiff.
-
C.
Boomtown
Boomtown is a critically acclaimed 1986 debut album by American singer-songwriter David Baerwald, known for its dark, literate take on life in Reagan-era Los Angeles.
-
D.
Boomtown
"Boomtown" is a song featured on the bluegrass album "Tell the Ones I Love" by the Steep Canyon Rangers.
-
E.
Boomtown
Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49ca5a0819091b74ca59e7fedd4 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dec070c81908e86b1c7fc50fc83 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c62311ff48190b740bba58180f100 |
completed | May 19, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c62d82f908190acbe1fec58288df9 |
completed | May 19, 2026, 1:17 p.m. |
Created at: April 17, 2026, 5:36 p.m.