Triple
T25341857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Cold War |
E635433
|
entity |
| Predicate | oftenDatedFrom |
P52397
|
FINISHED |
| Object | early 2000s |
—
|
LITERAL 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: early 2000s | Statement: [New Cold War, oftenDatedFrom, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenDatedFrom Context triple: [New Cold War, oftenDatedFrom, early 2000s]
-
A.
hasBeenDatedBy
Indicates that one entity has previously been in a romantic or dating relationship with another entity.
-
B.
oftenFrom
Indicates that something frequently originates, derives, or comes from a particular source or location.
-
C.
oftenHave
Indicates that one entity frequently possesses, experiences, or is associated with another entity.
-
D.
usedForDating
Indicates a relationship where one entity is used as a means, tool, or context for engaging in romantic or dating activities with another entity.
-
E.
likelyDatingFrom
chosen
Indicates that something is estimated or believed to originate from, or have begun in, a particular time period or date.
- F. None of above.
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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f498b818008190a4240a7a2cbeedfd |
completed | May 1, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 1:32 p.m.