Triple
T19139743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Give Me Back My Hometown |
E468523
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Cold One |
—
|
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: Cold One | Statement: [Give Me Back My Hometown, followedBy, Cold One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cold One Context triple: [Give Me Back My Hometown, followedBy, Cold One]
-
A.
Cold One
chosen
"Cold One" is a country song by American singer-songwriter Eric Church, known for its clever wordplay and storytelling about a sudden breakup over a beer.
-
B.
Cold Winter
Cold Winter is a first-person shooter video game known for its espionage-driven storyline, realistic weapon mechanics, and mature themes, released for the PlayStation 2.
-
C.
Cold As Ice
"Cold As Ice" is a hard-hitting hip hop track by the Brooklyn rap duo M.O.P., known for its aggressive delivery and gritty street themes.
-
D.
Ice Cold
"Ice Cold" is a track by Rick Ross from his studio album "God Forgives, I Don’t."
-
E.
Ice Cold
Ice Cold is a suspenseful crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles stranded with a deadly secret in a remote, abandoned Wyoming community.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ef883c8190829138a560f2a3dc |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.