Triple
T23085905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pink Lavalamp |
E575596
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | She's So High |
—
|
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: She's So High | Statement: [The Pink Lavalamp, hasTrack, She's So High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She's So High Context triple: [The Pink Lavalamp, hasTrack, She's So High]
-
A.
She’s So High
chosen
"She’s So High" is a pop-rock song by British singer-songwriter Tal Bachman, best known for its soaring chorus and late-1990s chart success.
-
B.
Gettin' High
"Gettin' High" is a hip hop song by Ol' Dirty Bastard from his 1999 album "Nigga Please," showcasing his eccentric style and offbeat delivery.
-
C.
Can’t Get High
"Can’t Get High" is a song by the Southern rock/jam band Widespread Panic from their 1994 studio album Ain’t Life Grand.
-
D.
You’re Makin’ Me High
"You’re Makin’ Me High" is a 1996 sultry R&B single by Toni Braxton that became one of her signature hits, topping the Billboard Hot 100 and earning critical acclaim.
-
E.
Let's Go Get Stoned
"Let's Go Get Stoned" is a soul/R&B song best known for its hit rendition by Ray Charles in the 1960s.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da573588190a8e0c859667e64a6 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.