Triple
T20177137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Insomniac |
E492630
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Stuck with Me |
—
|
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: Stuck with Me | Statement: [Insomniac, hasPart, Stuck with Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuck with Me Context triple: [Insomniac, hasPart, Stuck with Me]
-
A.
Stuck with Me
chosen
"Stuck with Me" is a punk rock song by Green Day, best known as one of the singles from their 1995 album *Insomniac*.
-
B.
Stay with Me
"Stay with Me" is a soulful ballad composed by Michael Masser, best known through its powerful vocal performances and enduring popularity as a classic love song.
-
C.
Stuck on You
Stuck on You is a 2003 comedy film directed by the Farrelly brothers about conjoined twin brothers navigating life and show business, co-starring Matt Damon, Greg Kinnear, and Eva Mendes.
-
D.
Stuck on You
"Stuck on You" is a 1984 country-pop ballad by Lionel Richie that became one of his signature solo hits.
-
E.
Still Me
Still Me is a contemporary novel by Jojo Moyes that continues the story of Louisa Clark as she starts a new life in New York City, navigating love, identity, and independence.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ec4d7c81909fa4bdc58ed54aeb |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.