Triple
T9428244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utopia |
E227307
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sue Me |
E798649
|
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: Sue Me | Statement: [Utopia, hasPart, Sue Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Me Context triple: [Utopia, hasPart, Sue Me]
-
A.
Sue Me
chosen
"Sue Me" is a pop song by American singer Sabrina Carpenter, known for its confident, post-breakup empowerment theme and catchy, upbeat production.
-
B.
Sue’s Gotta Be Mine
"Sue’s Gotta Be Mine" is a 1963 rock and roll single by Del Shannon, known for its upbeat tempo and catchy, melodic hook.
-
C.
Sucker
Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
-
D.
Sucker
"Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
-
E.
Mean to Me
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c92ee848190baa41fe91a131305 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11034369c81908992e268e66d7833 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.