Triple
T12365790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs About Girls |
E294864
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Freakin' Me Out |
E294859
|
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: Freakin' Me Out | Statement: [Songs About Girls, hasPart, Freakin' Me Out]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freakin' Me Out Context triple: [Songs About Girls, hasPart, Freakin' Me Out]
-
A.
Freakin' Me
chosen
"Freakin' Me" is a track by will.i.am featured on his 2007 solo album "Songs About Girls," blending pop and hip-hop influences.
-
B.
You Wanna Freak Out
"You Wanna Freak Out" is a song by American rock band My Morning Jacket from their 2011 album *Circuital*.
-
C.
Freaky Deaky
Freaky Deaky is a crime-comedy film adaptation of Elmore Leonard’s novel, directed by Charles Matthau and centered on a bomb-squad detective entangled in a bizarre extortion scheme.
-
D.
U Got Me Fucked Up
"U Got Me Fucked Up" is a track by Chance the Rapper from his breakout mixtape *10 Day*, showcasing his early blend of witty lyricism and offbeat, melodic rap style.
-
E.
Scared Stiff
Scared Stiff is a 1953 comedy-horror film starring the popular duo Dean Martin and Jerry Lewis, known for its blend of slapstick humor and spooky antics.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abbaaec8190b388d9dff999da8d |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.