Triple
T4612976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serena Williams |
E100801
|
entity |
| Predicate | weeksAtNo1Singles |
P57437
|
FINISHED |
| Object | 319 |
—
|
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: 319 | Statement: [Serena Williams, weeksAtNo1Singles, 319]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weeksAtNo1Singles Context triple: [Serena Williams, weeksAtNo1Singles, 319]
-
A.
weeksAtNumberOneUK
Indicates the number of weeks an item remained at the number one position on the UK chart.
-
B.
weeksAtNumberOneOnBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the Billboard Hot 100 chart.
-
C.
weeksAtNumberOneUSBillboardHot100
Indicates the number of weeks a song or recording remained at the #1 position on the US Billboard Hot 100 chart.
-
D.
chartPositionUKSinglesWeeksAtNumberOne
Indicates the number of weeks a single remained at the number one position on the UK Singles Chart.
-
E.
numberOfTop10SinglesUS
Indicates the number of singles by an entity that have reached the top 10 positions on music charts in the United States.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c11f5481909f61e23503711cf5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:12 p.m.