Triple
T31912074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Stopped Loving Her Today |
E814713
|
entity |
| Predicate | chartWeeksAtNumberOneUSCountry |
P24792
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [He Stopped Loving Her Today, chartWeeksAtNumberOneUSCountry, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartWeeksAtNumberOneUSCountry Context triple: [He Stopped Loving Her Today, chartWeeksAtNumberOneUSCountry, 1]
-
A.
numberOfWeeks_US_Alternative_Songs_at_1
Indicates the number of weeks a song has held the number 1 position on the US Alternative Songs chart.
-
B.
weeksAtNumberOneUSBillboardHot100
chosen
Indicates the number of weeks a song or recording remained at the #1 position on the US Billboard Hot 100 chart.
-
C.
weeksAtWorldNo1
Indicates the number of weeks an entity has held the world number one ranking in its field.
-
D.
weeksAtNumberOneUSBillboard200
Indicates the number of weeks an album or release remained at the number-one position on the US Billboard 200 chart.
-
E.
chartPeakCountry_US_Billboard_Hot_100
Indicates that the entity reached its peak chart position on the US Billboard Hot 100.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 12:01 a.m.