Triple
T20268759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like Minds |
E499035
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Like Minds |
—
|
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: Like Minds | Statement: [Like Minds, hasTrack, Like Minds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like Minds Context triple: [Like Minds, hasTrack, Like Minds]
-
A.
Like Minds
Like Minds is a jazz album by vibraphonist Gary Burton, known for its collaborative performances with several prominent jazz musicians.
-
B.
Like Minds
chosen
Like Minds is a 2006 British-Australian psychological thriller film centered on a gifted but disturbed schoolboy, notable for featuring Tom Sturridge in a leading role.
-
C.
Get Like Me
"Get Like Me" is a 2013 hip hop single by Nelly featuring Nicki Minaj and Pharrell Williams, known for its minimalist beat and boastful party lyrics.
-
D.
Mutual Friends
"Mutual Friends" is a breakout R&B/alternative track by Canadian singer-songwriter Jessie Reyez, known for its raw, emotional lyrics about heartbreak and betrayal.
-
E.
Mutual Network
Mutual Network was a major American radio network that operated throughout much of the 20th century, known for its news, entertainment programs, and nationwide affiliates.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dbb7ac8190a40c527f2c02ca50 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.