Triple
T15121922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuck with U |
E361190
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Alfredo Flores
Alfredo Flores is a music video director best known for his frequent collaborations with major pop and R&B artists, particularly Justin Bieber.
|
E1283034
|
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: Alfredo Flores | Statement: [Stuck with U, musicVideoDirector, Alfredo Flores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfredo Flores Context triple: [Stuck with U, musicVideoDirector, Alfredo Flores]
-
A.
Enrique Cruz
Enrique Cruz is a kindhearted airport food-service worker in the film "The Terminal" who befriends stranded traveler Viktor Navorski.
-
B.
Miguel Briseño
Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
-
C.
Miguel Briseño
Miguel Briseño is a performer known for his role in the production of "Fool for Love."
-
D.
Armando Bermúdez
Armando Bermúdez was a prominent Dominican figure after whom one of the country’s major national parks, located in the Cordillera Central, is named.
-
E.
Alfredo Garcia
Alfredo Garcia is the elusive, deceased man whose severed head becomes the macabre object of pursuit in Sam Peckinpah’s 1974 neo-noir film "Bring Me the Head of Alfredo Garcia."
- 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: Alfredo Flores Triple: [Stuck with U, musicVideoDirector, Alfredo Flores]
Generated description
Alfredo Flores is a music video director best known for his frequent collaborations with major pop and R&B artists, particularly Justin Bieber.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfredo Flores Target entity description: Alfredo Flores is a music video director best known for his frequent collaborations with major pop and R&B artists, particularly Justin Bieber.
-
A.
Enrique Cruz
Enrique Cruz is a kindhearted airport food-service worker in the film "The Terminal" who befriends stranded traveler Viktor Navorski.
-
B.
Miguel Briseño
Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
-
C.
Miguel Briseño
Miguel Briseño is a performer known for his role in the production of "Fool for Love."
-
D.
Armando Bermúdez
Armando Bermúdez was a prominent Dominican figure after whom one of the country’s major national parks, located in the Cordillera Central, is named.
-
E.
Alfredo Garcia
Alfredo Garcia is the elusive, deceased man whose severed head becomes the macabre object of pursuit in Sam Peckinpah’s 1974 neo-noir film "Bring Me the Head of Alfredo Garcia."
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022308f26081909d9c77d8327fee8e |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a0227c9e3408190ad559cd97919235d |
completed | May 11, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02282bb2748190ad51b83c240cc429 |
completed | May 11, 2026, 7:04 p.m. |
Created at: April 10, 2026, 3:06 a.m.