Triple
T3194599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Method Man |
E66903
|
entity |
| Predicate | filmWork |
P9968
|
FINISHED |
| Object |
film "How High"
"How High" is a 2001 stoner comedy film starring Method Man and Redman as underachievers who use a supernatural boost to ace college entrance exams and navigate life at Harvard.
|
E335035
|
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: film "How High" | Statement: [Method Man, filmWork, film "How High"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: film "How High" Context triple: [Method Man, filmWork, film "How High"]
-
A.
Dope
Dope is a 2015 coming-of-age comedy-drama film that follows a geeky teenager navigating life in a tough Los Angeles neighborhood after a chance encounter with the underground drug world.
-
B.
Dope
"Dope" is a hip-hop single by rapper Legend, showcasing his style and lyrical approach within the genre.
-
C.
Hold Up
"Hold Up" is a genre-blending, reggae-infused song by Beyoncé from her critically acclaimed 2016 visual album *Lemonade*.
-
D.
Hot Fuzz
Hot Fuzz is a 2007 British action-comedy film directed by Edgar Wright, following an overachieving London police officer reassigned to a seemingly quiet village hiding dark secrets.
-
E.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
- 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: film "How High" Triple: [Method Man, filmWork, film "How High"]
Generated description
"How High" is a 2001 stoner comedy film starring Method Man and Redman as underachievers who use a supernatural boost to ace college entrance exams and navigate life at Harvard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: film "How High" Target entity description: "How High" is a 2001 stoner comedy film starring Method Man and Redman as underachievers who use a supernatural boost to ace college entrance exams and navigate life at Harvard.
-
A.
Dope
Dope is a 2015 coming-of-age comedy-drama film that follows a geeky teenager navigating life in a tough Los Angeles neighborhood after a chance encounter with the underground drug world.
-
B.
Dope
"Dope" is a hip-hop single by rapper Legend, showcasing his style and lyrical approach within the genre.
-
C.
Hold Up
"Hold Up" is a genre-blending, reggae-infused song by Beyoncé from her critically acclaimed 2016 visual album *Lemonade*.
-
D.
Hot Fuzz
Hot Fuzz is a 2007 British action-comedy film directed by Edgar Wright, following an overachieving London police officer reassigned to a seemingly quiet village hiding dark secrets.
-
E.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada714dbcc8190a7ad21b3c957f151 |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bae63688190b2a1a1dba8b2cffa |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24c9f4488819096b33baa4f35deaa |
completed | March 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d4f4b1c819094d2073c9889fecf |
completed | March 12, 2026, 5:21 a.m. |
Created at: March 8, 2026, 3:07 p.m.