Triple
T11428642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I'll Be There" |
E270818
|
entity |
| Predicate | isInBillboardAllTimeList |
P32421
|
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'll Be There", isInBillboardAllTimeList, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInBillboardAllTimeList Context triple: ["I'll Be There", isInBillboardAllTimeList, true]
-
A.
hasBillboardStar
Indicates that an entity has been awarded or features a star on a billboard, signifying recognition or promotion.
-
B.
isListedBy
chosen
Indicates that one entity appears as an item or entry in a list, catalog, or register maintained or provided by another entity.
-
C.
hasBillboard200Top10Album
Indicates that an entity (typically a musical artist or group) has released at least one album that reached the top 10 positions on the Billboard 200 chart.
-
D.
hasBillboardCountryNumberOneSingle
Indicates that an entity has achieved at least one single that reached number one on the Billboard Country music charts.
-
E.
isConsistentlyRankedInTop
Indicates that an entity repeatedly appears within the top positions of a ranking or list over a sustained period or across multiple evaluations.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c1bfb881909720c74fe0fa837f |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.