Triple
T4535243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redman |
E107391
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | film "How High" |
E335035
|
NE FINISHED |
How this triple was built (2 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: [Redman, notableWork, film "How High"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: film "How High" Context triple: [Redman, notableWork, film "How High"]
-
A.
film "How High"
chosen
"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.
-
B.
Dope
"Dope" is a hip-hop single by rapper Legend, showcasing his style and lyrical approach within the genre.
-
C.
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.
-
D.
Hold Up
"Hold Up" is a genre-blending, reggae-infused song by Beyoncé from her critically acclaimed 2016 visual album *Lemonade*.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b634b08190845d04213cf8d5b9 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacf016d0819080665256c84d37a3 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:04 p.m.