Triple
T13597805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold |
E324865
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Cold |
unclear NED1
|
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: Cold | Statement: [Cold, hasTitle, Cold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cold Context triple: [Cold, hasTitle, Cold]
-
A.
Cold
"Cold" is a song by GOOD Music, best known for its collaboration between Kanye West and DJ Khaled that blends braggadocious lyrics with a hard-hitting, minimalist beat.
-
B.
Cold
"Cold" is an autobiographical book by British explorer Sir Ranulph Fiennes recounting his extreme polar expeditions and experiences in some of the harshest climates on Earth.
-
C.
Cold
"Cold" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
-
D.
Cold
Cold is a novel by British author John Gardner that blends elements of espionage and psychological suspense.
-
E.
Cold
"Cold" is a pop-influenced song by Maroon 5 featuring rapper Future, known for its moody production and themes of emotional distance in a relationship.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0590558819080ccc5874a650b1e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f92224c8190b66adef1291cd47f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.