Triple
T20609361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hat Full of Stars |
E506402
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Dear John |
—
|
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: Dear John | Statement: [Hat Full of Stars, hasTrack, Dear John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear John Context triple: [Hat Full of Stars, hasTrack, Dear John]
-
A.
Dear John
Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
-
B.
Dear John
chosen
"Dear John" is a six-minute country-pop ballad by Taylor Swift widely noted for its confessional lyrics about a toxic relationship and emotional manipulation.
-
C.
Dear John
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
-
D.
Dear John Letter
"Dear John Letter" is a song from Whitney Houston's 2002 album "Just Whitney," reflecting themes of heartbreak and the end of a relationship.
-
E.
Dear Michael
Dear Michael is a work by Italian author Natalia Ginzburg, reflecting her characteristic blend of intimate psychological insight and understated, autobiographical storytelling.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad5e53c8190b0add34ce9b31d57 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.