Triple
T21019423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. 1999 Eternal |
E517767
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Locced Out |
—
|
NE NERFINISHED |
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: Locced Out | Statement: [E. 1999 Eternal, hasPart, Locced Out]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Locced Out Context triple: [E. 1999 Eternal, hasPart, Locced Out]
-
A.
Loc'd Out
chosen
Loc'd Out is a hip-hop/rap release by West Coast rapper Goldie Loc, showcasing his signature G-funk-influenced style.
-
B.
Get Lost
"Get Lost" is a song by Tom Waits from his 2011 album *Bad as Me*, showcasing his distinctive gravelly vocals and eclectic, blues-influenced style.
-
C.
Get Lost
"Get Lost" is a track by Kanye West from his unfinished and Stem Player–exclusive album "Donda 2."
-
D.
Get Lost
"Get Lost" is a 2014 electro-pop single by Swedish duo Icona Pop, known for its upbeat, synth-driven sound and themes of carefree escape.
-
E.
Lost One
"Lost One" is a reflective R&B song from Jazmine Sullivan’s acclaimed project *Heaux Tales*, exploring themes of regret, lost love, and emotional vulnerability.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5b6af4819081fd3aa5212f17a5 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.