Triple
T36475239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris |
E898642
|
entity |
| Predicate | spentMultipleWeeksAtNumberOneOn |
P185560
|
FINISHED |
| Object | Billboard Hot 100 Airplay |
—
|
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: Billboard Hot 100 Airplay | Statement: [Iris, spentMultipleWeeksAtNumberOneOn, Billboard Hot 100 Airplay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spentMultipleWeeksAtNumberOneOn Context triple: [Iris, spentMultipleWeeksAtNumberOneOn, Billboard Hot 100 Airplay]
-
A.
numberOfWeeksAtNumberOne
Indicates the duration, measured in weeks, that something remained in the number-one position.
-
B.
weeksAtWorldNo1
Indicates the number of weeks an entity has held the world number one ranking in its field.
-
C.
numberOfUSNumberOneSingles
Indicates the count of times an entity has achieved a number-one single on the official United States music charts.
-
D.
debutedAtNumberOneOn
Indicates that an item (such as a song, album, or work) entered a ranked chart for the first time directly in the top (number one) position.
-
E.
consecutiveWeeksAtWorldNo1
Indicates the number of weeks in a row that an entity has held the world number one ranking.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.