Triple
T31192057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History: America’s Greatest Hits |
E795205
|
entity |
| Predicate | containsHitSinglesFromDecade |
P89584
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [History: America’s Greatest Hits, containsHitSinglesFromDecade, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsHitSinglesFromDecade Context triple: [History: America’s Greatest Hits, containsHitSinglesFromDecade, 1970s]
-
A.
hasNotableHitDecade
chosen
Indicates the decade during which an entity achieved a particularly notable or significant hit (e.g., a major success or breakthrough).
-
B.
wroteHitSingles
Indicates that the subject created and released one or more songs that achieved significant commercial success as singles.
-
C.
hasGenreOfHitSingles
Indicates that an entity (such as an artist or album) is associated with a particular musical genre specifically through its successful or hit singles.
-
D.
numberOfTop10SinglesUS
Indicates the number of singles by an entity that have reached the top 10 positions on music charts in the United States.
-
E.
coveredInDecade
Indicates that an event, activity, or state occurs within and is temporally contained by a specific decade.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: April 29, 2026, 9:08 p.m.