Triple
T23732526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Needs Pictures |
E586447
|
entity |
| Predicate | hasBillboardCountrySingles |
P153742
|
FINISHED |
| Object | He Didn’t Have to Be |
—
|
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: He Didn’t Have to Be | Statement: [Who Needs Pictures, hasBillboardCountrySingles, He Didn’t Have to Be]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBillboardCountrySingles Context triple: [Who Needs Pictures, hasBillboardCountrySingles, He Didn’t Have to Be]
-
A.
hasBillboardCountryNumberOneSingle
Indicates that an entity has achieved at least one single that reached number one on the Billboard Country music charts.
-
B.
countryOfChartUSBillboardHot100
Indicates that the associated chart is the U.S. Billboard Hot 100 chart for a given musical work or performance.
-
C.
chartPositionBillboardCountrySongsPeak
Indicates the highest chart position an item reached on the Billboard Country Songs chart.
-
D.
hasHitOnBillboardHot100
Indicates that an entity (typically a song or artist) has appeared as a ranked entry on the Billboard Hot 100 music chart.
-
E.
hasInternationalHitSingle
Indicates that an entity (typically a musical artist or group) has released at least one single that achieved notable popularity or chart success in multiple countries.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1baccf5b88190961a6e5e0e1407c7 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:10 p.m.