Triple
T13792793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under tha Influence |
E331439
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Down, Down, Down |
E1061262
|
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: Down, Down, Down | Statement: [Under tha Influence, hasPart, Down, Down, Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Down, Down, Down Context triple: [Under tha Influence, hasPart, Down, Down, Down]
-
A.
Down, Down, Down
chosen
"Down, Down, Down" is a track by DJ Quik featured on his influential 1998 West Coast hip hop album *Rhythm-al-ism*.
-
B.
Up and Down
"Up and Down" is a song by Doja Cat from her genre-blending, futuristic-themed album *Planet Her*.
-
C.
“Down”
“Down” is a 2001 horror film directed by Dick Maas about a series of deadly incidents in a New York skyscraper caused by a malfunctioning—and possibly malevolent—elevator.
-
D.
Straight Up & Down
"Straight Up & Down" is an R&B-influenced love song by Bruno Mars from his 2016 album *24K Magic*, known for its smooth vocals and retro-inspired production.
-
E.
Fire Down Below
Fire Down Below is a historical sea novel by William Golding that concludes his nautical trilogy exploring human nature and society aboard a 19th-century sailing ship.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.