Triple
T6271731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Don't Wanna Cry |
E140549
|
entity |
| Predicate | isMariahCareySingle |
P69078
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [I Don't Wanna Cry, isMariahCareySingle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMariahCareySingle Context triple: [I Don't Wanna Cry, isMariahCareySingle, true]
-
A.
WhitneyHoustonSingleChronologyNext
Indicates that one single directly follows another in Whitney Houston’s single release chronology.
-
B.
WhitneyHoustonSingleChronologyPrevious
Indicates that the subject is the single that was released immediately before the given Whitney Houston single in her discography chronology.
-
C.
previousSingleInBeyoncéChronology
Indicates that one musical single directly precedes another in the chronological sequence of Beyoncé’s single releases.
-
D.
isMarilyn
Indicates that the subject is (or is being identified as) Marilyn.
-
E.
isOnlyUSNumberOneSingleFor
Indicates that a song reached number one on the US charts but did not achieve a number-one position in any other country for the specified artist or entity.
- F. None of above. chosen
Provenance (4 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063bca5488190b9da3c037cfc7953 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:25 p.m.